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  • 1
    Keywords: Paleoecology. ; Paleontology . ; Bioinformatics. ; Archaeology. ; Earth sciences. ; Paleoecology. ; Paleontology. ; Computational and Systems Biology. ; Archaeology. ; Earth Sciences.
    Description / Table of Contents: Chapter 1-Introduction -- Chapter 2-Historical perspective -- Chapter 3-Geology and stratigraphy -- Chapter 4-Indian late cretaceous dinosaur nesting sites -- Chapter 5-Discussion. Chapter -- 6-Summary and conclusions.
    Abstract: This book documents analyses of the Late Cretaceous dinosaur nesting sites of the Lameta Formation at Jabalpur, Districts Dhar and Jhabua, Madhya Pradesh; Districts Kheda and Panchmahal (Gujarat); and the Pisdura, Dongargaon and Pavna sectors in the Chandrapur Districts of Maharashtra, which are exposed in India along an east-west and central axis. In this work, special emphasis has been given to the dinosaur nesting sites of the east-central Narbada River region, including its regional geology. The work was undertaken to provide detailed information concerning dinosaur eggs, eggshell fragments, nests and clutches found in the Lameta Formation of peninsular India. Prior to the present work there had been no detailed review of systematic work on the taxonomy, and of micro- and ultrastructural studies of dinosaur eggs and eggshells from the Lameta Formation. The study documents the field and laboratory investigations that facilitated the reconstruction of the morphotaxonomy, models for the burial pattern of eggs and eggshells, taphonomic implications,and the palaeoenvironmental context and palaeoecological conditions during the Late Cretaceous at the time of the extrusion of the Deccan traps, which may have been partly responsible for the extinction of the dinosaurs. The need to follow a parataxonomic classification for Indian dinosaur eggs and eggshell types is very apparent, and this book addresses this aspect in some detail. The emphasis on the application of parataxonomic schemes is based on the description of new oospecies and their comparison with previously known forms. The present work has led to the recovery of numerous nests, many collapsed eggs and hundreds of dinosaur eggshell fragments from the localities situated near the east, west and central Narbada River regions. It will be of interest to academics and professional palaeontologists, and all students of dinosaurs.
    Type of Medium: Online Resource
    Pages: XX, 280 p. 92 illus., 50 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030564544
    Series Statement: Topics in Geobiology ; 51
    DDC: 560.45
    Language: English
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  • 2
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Biotechnology. ; Biomedical engineering. ; Radiology. ; Bioinformatics. ; Biotechnology. ; Biomedical Engineering and Bioengineering. ; Radiology. ; Computational and Systems Biology.
    Description / Table of Contents: Deep Learning in Medical Image Analysis -- Medical Image Synthesis via Deep Learning -- Deep Learning for Pulmonary Image Analysis: Classification, Detection, and Segmentation -- Deep Learning Computer Aided Diagnosis for Breast Lesion in Digital Mammogram -- Decision support system for lung cancer using PET/CT and microscopic images -- Lesion Image Synthesis using DCGANs for Metastatic Liver Cancer Detection -- Retinopathy analysis based on deep convolution neural network -- Diagnosis of Glaucoma on retinal fundus images using deep learning: detection of nerve fiber layer defect and optic disc analysis -- Automatic segmentation of multiple organs on 3D CT images by using deep learning approaches -- Techniques and Applications in Skin OCT Analysis -- Deep Learning Technique for Musculoskeletal Analysis -- Index.
    Abstract: This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.
    Type of Medium: Online Resource
    Pages: VIII, 181 p. 131 illus., 114 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030331283
    Series Statement: Advances in Experimental Medicine and Biology, 1213
    DDC: 660.6
    Language: English
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  • 3
    Keywords: Medicine Research. ; Biology Research. ; Bioinformatics. ; Cancer. ; Biomedical Research. ; Bioinformatics. ; Cancer Biology.
    Description / Table of Contents: Values of single-cell sequencing and methylation in molecular diagnosis and therapy -- Single-cell sequencing in human diseases -- Single-cell sequencing of T cell receptors: A perspective on the technological development and translational application -- DNA Methylation in pulmonary fibrosis -- Molecular regulation and clinical significance of caveolin-1 methylation in chronic lung diseases -- Research advances on DNA methylation in idiopathic pulmonary fibrosis -- DNA Methylation in Chronic Obstructive Pulmonary Disease -- Single cell sequencing: a new dimension in cancer diagnosis -- The Role of Methylation in the CpG Island of the ARHI Promoter Region in Cancers -- Clinical Significance of P16 Gene Methylation in Lung Cancer -- Application of single-cell RNA sequencing in pancreatic cancer and the endocrine pancreas -- Single Cell Sequencing in GU Malignancies -- PI3K Isoform-Selective Inhibitors in Cancer -- Single cell RNA sequencing in human disease: Renal, pancreatic, and viral diseases -- Single-cell sequencing in human genital infections -- PI3kinase Inhibitors in Thrombosis and Cardiovascular Disease -- Use of single-cell microfluidic technology towards therapeutic antibody discovery from single B cells.
    Abstract: With the rapid development of biotechnologies, single-cell sequencing has become an important tool for understanding the molecular mechanisms of diseases, defining cellular heterogeneities and characteristics, and identifying intercellular communications and single-cell-based biomarkers. Providing a clear overview of the clinical applications, the book presents state-of-the-art information on immune cell function, cancer progression, infection, and inflammation gained from single-cell DNA or RNA sequencing. Furthermore, it explores the role of target gene methylation in the pathogenesis of diseases, with a focus on respiratory cancer, infection and chronic diseases. As such it is a valuable resource for clinical researchers and physicians, allowing them to refresh their knowledge and improve early diagnosis and therapy for patients.
    Type of Medium: Online Resource
    Pages: VIII, 247 p. 117 illus., 114 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9789811544941
    Series Statement: Advances in Experimental Medicine and Biology, 1255
    DDC: 610.72
    Language: English
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  • 4
    Keywords: Biotechnology. ; Bioinformatics. ; Medical genetics. ; Biotechnology. ; Computational and Systems Biology. ; Medical Genetics.
    Description / Table of Contents: Chapter 1: Global Alignment of PPI Networks -- Chapter 2: Integrated Network-Based Computational Analysis for Drug Development -- Chapter 3: Effective Random Walk Models for Comparative Network Analysis -- Chapter 4: Computational Methods for Protein-Protein Interaction Network Alignment -- Chapter 5: Network Propagation for the Analysis of Multi_Omics Data -- Chapter 6: Motifs in Biological Networks -- Chapter 7: Bio Fabric Visualization of Network Alignments -- Chapter 8: Module Identification of Biological Networks via Graph Partition -- Chapter 9: Network Module Detection to Decipher the Heterogeneity of Cancer Mutations.
    Abstract: This book reviews recent advances in the emerging field of computational network biology with special emphasis on comparative network analysis and network module detection. The chapters in this volume are contributed by leading international researchers in computational network biology and offer in-depth insight on the latest techniques in network alignment, network clustering, and network module detection. Chapters discuss the advantages of the respective techniques and present the current challenges and open problems in the field. Recent Advances in Biological Network Analysis: Comparative Network Analysis and Network Module Detection will serve as a great resource for graduate students, academics, and researchers who are currently working in areas relevant to computational network biology or wish to learn more about the field. Data scientists whose work involves the analysis of graphs, networks, and other types of data with topological structure or relations can also benefit from the book's insights. .
    Type of Medium: Online Resource
    Pages: XII, 217 p. 42 illus., 29 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030571733
    DDC: 660.6
    Language: English
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  • 5
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Medicine Research. ; Biology Research. ; Drugs Design. ; Pharmaceutical chemistry. ; Genomics. ; Bioinformatics. ; Biomedical Research. ; Structure-Based Drug Design. ; Pharmaceutics. ; Genomics. ; Bioinformatics.
    Description / Table of Contents: Chapter 1. Emerging Technologies : Gateway to Understand Molecular Insight of Diseases, Newer Drugs, Their Design and Targeting -- Chapter 2. Polypharmacology: New Paradigms in Drug Development -- Chapter 3. Drug Repurposing in Biomedical Research : Benefits and Challenges -- Chapter 4. Computational Methods for Drug Repurposing -- Chapter 5. Genomic Approaches for Drug Repositioning -- Chapter 6. Organ-On-A- Chip: Novel in-Vitro Model For Drug Discovery -- Chapter 7. Precision Radiomolecular Oncology: Challenging the Classical Statistical Evidence Based Medicine -- Chapter 8. Drug Repositioning of the Phenylpiperazine Derivative Naftopidil in Prostate Cancer Treatment -- Chapter 9. Biomarker Based Drug Discovery and Reverse Translational Approach -- Chapter 10. Nanotechnology in Dentistry -- Chapter 11. Nanoparticles a Potential Breakthrough in Counteracting Multidrug-Resistant Bacterial Infections: A Holistic View on Underlying Mechanisms and Antibacterial Properties -- Chapter 12. Emerging Role of Cannabinoid System Modulators in Treatment of Cancer -- Chapter 13. Nanodrugs : A Futuristic Approach for Treating Nephrolithiasis -- Chapter 14. Lipo Dermaceuticals : Technological Transformation -- Chapter 15. The Importance of Drug Dose Adjustment in Elderly Patients with Special Considerations for Patients on Diverse Co-Medications and Antidepressants -- Chapter 16. Role of Microfluidics and Nano Fluidics in Managing CAD -- Chapter 17. Targeted Gene Delivery Through Magnetofection: The New Face of Medicine -- Chapter 18. Qbd-Steered Systematic Development of Drug Delivery Nanoconstructs : Vital Precepts, Retrospect and Prospects -- Chapter 19. Nanoemulsions: A Potential Advanced Nanocarrier Platform for Herbal Drug Delivery -- Chapter 20. Sirna Encapsulated Nanoparticles for Targeting Dorsal Root Ganglion (Drg) in Diabetic Neuropathic Pain -- Chapter 21. EGFR Targeted Quinazoline Clubbed Heterocycles as Anti-Cancer Agents. Chapter 22. Therapeutic Human Monoclonal Antibodies -- Chapter 23. Hydroxyapatites and Their Biomedical Applications -- Chapter 24. Recent Progress in Applications of Magnetic Nanoparticles in Medicine: A Review -- Chapter 25. Chimeric Antigen Receptor T-Cell Therapy: A Cutting Edge Therapy for Multiple Myeloma -- Chapter 26. Nanoparticles-Associated Lipopeptides: A New Class of Antimicrobials -- Chapter 27. Antimicrobial Applications of Engineered Metal-Based Nanomaterials -- Chapter 28. Strengthening Immunity-Ayurveda & Medicinal Plants -- Chapter 29. The Pathophysiology of Liver Disorders and Pharmacotherapy Options with Special Reference to Traditional Herbal Medicines: A Comprehensive Review -- Chapter 30. Polymeric Vehicles for Controlled Delivery of Ayurvedic Drugs for Wound Management.
    Abstract: This book, which is the third volume of Biomedical translational research, focuses on the fundamental role of biomedical research in developing new medicinal products. It emphasizes the importance of understanding biological and pathophysiological mechanisms underlying the disease to discover and develop new biological agents. The book uniquely explores the genomic computational integrative approach for drug repositioning. Further, it discusses the health benefits of nutraceuticals and their application in human diseases. Further, the book comprehensively reviews different computational approaches that employ GWAS data to guide drug repositioning. Finally, it summarizes the major challenges in drug development and the strategies for the rational design of the next generation more effective but less toxic therapeutic agents.
    Type of Medium: Online Resource
    Pages: XII, 599 p. 1 illus. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811692321
    DDC: 610.72
    Language: English
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  • 6
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Medicine Research. ; Biology Research. ; Artificial intelligence. ; Bioinformatics. ; Biomedical Research. ; Artificial Intelligence. ; Bioinformatics.
    Description / Table of Contents: 1-Dimensional Convolution Neural Network Classification Technique for Gene Expression Data -- Classification of Sequences with Deep Artificial Neural Networks: Representation and Architectural Issues -- A Deep Learning Model for MicroRNA-Target Binding -- Recurrent Neural Networks Architectures for Accidental Fall Detection on Wearable Embedded Devices -- Medical Image Retrieval System using Deep Learning Techniques -- Medical Image Fusion using Deep Learning -- Deep Learning for Histopathological Image Analysis -- Innovative Deep Learning Approach for Biomedical Data Instantiation and Visualization -- Convolutional Neural Networks in Advanced Biomedical Imaging Applications -- Deep Learning for Lung Disease Detection from Chest X-Rays Images -- Deep Learning in Multi-Omics Data Integration in Cancer Diagnostic -- Using Deep Learning with Canadian Primary Care Data for Disease Diagnosis -- Brain Tumor Segmentation and Surveillance with Deep Artificial Neural Networks.
    Abstract: This book is the first overview on Deep Learning (DL) for biomedical data analysis. It surveys the most recent techniques and approaches in this field, with both a broad coverage and enough depth to be of practical use to working professionals. This book offers enough fundamental and technical information on these techniques, approaches and the related problems without overcrowding the reader's head. It presents the results of the latest investigations in the field of DL for biomedical data analysis. The techniques and approaches presented in this book deal with the most important and/or the newest topics encountered in this field. They combine fundamental theory of Artificial Intelligence (AI), Machine Learning (ML) and DL with practical applications in Biology and Medicine. Certainly, the list of topics covered in this book is not exhaustive but these topics will shed light on the implications of the presented techniques and approaches on other topics in biomedical data analysis. The book finds a balance between theoretical and practical coverage of a wide range of issues in the field of biomedical data analysis, thanks to DL. The few published books on DL for biomedical data analysis either focus on specific topics or lack technical depth. The chapters presented in this book were selected for quality and relevance. The book also presents experiments that provide qualitative and quantitative overviews in the field of biomedical data analysis. The reader will require some familiarity with AI, ML and DL and will learn about techniques and approaches that deal with the most important and/or the newest topics encountered in the field of DL for biomedical data analysis. He/she will discover both the fundamentals behind DL techniques and approaches, and their applications on biomedical data. This book can also serve as a reference book for graduate courses in Bioinformatics, AI, ML and DL. The book aims not only at professional researchers and practitioners but also graduate students, senior undergraduate students and young researchers. This book will certainly show the way to new techniques and approaches to make new discoveries.
    Type of Medium: Online Resource
    Pages: VI, 359 p. 130 illus., 40 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030716769
    DDC: 610.72
    Language: English
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  • 7
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Biotechnology. ; Cytology. ; Bioinformatics. ; Biology Technique. ; Biotechnology. ; Cell Biology. ; Computational and Systems Biology. ; Biological Techniques.
    Description / Table of Contents: Workflows and Components of Bioimage Analysis -- Measurements of Intensity Dynamics at the Periphery of the Nucleus -- 3D Quantitative Colocalisation Analysis -- The NEMO Dots Assembly: Single-Particle Tracking and Analysis -- Introduction to MATLAB: Image Analysis & Brownian Motion -- Resolving the process of Clathrin Mediated Endocytosis Using Correlative Light & Electron Microscopy (CLEM).
    Abstract: This Open Access textbook provides students and researchers in the life sciences with essential practical information on how to quantitatively analyze data images. It refrains from focusing on theory, and instead uses practical examples and step-by step protocols to familiarize readers with the most commonly used image processing and analysis platforms such as ImageJ, MatLab and Python. Besides gaining knowhow on algorithm usage, readers will learn how to create an analysis pipeline by scripting language; these skills are important in order to document reproducible image analysis workflows. The textbook is chiefly intended for advanced undergraduates in the life sciences and biomedicine without a theoretical background in data analysis, as well as for postdocs, staff scientists and faculty members who need to perform regular quantitative analyses of microscopy images.
    Type of Medium: Online Resource
    Pages: X, 170 p. 69 illus., 58 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030223861
    Series Statement: Learning Materials in Biosciences,
    DDC: 660.6
    Language: English
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  • 8
    Keywords: Medicine Research. ; Biology Research. ; Biomedical engineering. ; Industrial microbiology. ; Bioinformatics. ; Synthetic Biology. ; Biomedical Research. ; Biomedical Engineering and Bioengineering. ; Industrial Microbiology. ; Computational and Systems Biology. ; Synthetic Biology.
    Description / Table of Contents: Part 1 Introduction to Microbial Engineering -- 1 Exploring the Potential of Microbial Engineering: The Prospect, Promise and Essence -- Part 2 Microbial Engineering Approaches -- 2 Role of System Biology in Microbial System -- 3 Synthetic Biology: Refining Human Health -- 4 Probiotic Engineering: A focus on Inflammatory Bowel Disease -- 5 Engineering microbes for smart diagnostics & Lab on Chip -- 6 Bacteriophage and Virus Engineering -- 7 CRISPR Technologies: A tool for Engineering Microbes -- Part 3 Health Benefits -- 8 Recombinant Vaccines: The Revolution Ahead -- 9 Microbe-Host Metabolic Interaction- Probiotic Approach -- 10 Designer Microbes: Oncotherapy approach -- 11 The human gut microbiome in health, disease and therapeutics -- 12 Use of Engineered Bacteria for Production of Green Chemicals & Pharmaceuticals -- 13 Fat Fighting Microbes. Part 4 Innovation & Translation -- 14 Scale-up of engineering strain for industrial applications -- 15 Affordable therapeutics through Engineered Microbes -- 16 COVID-19: Lesson Learnt from Diagnostics to therapeutics. .
    Abstract: This book highlights the recent advances in the field of microbial engineering and its application in human healthcare. It underscores the systemic and synthetic biology approaches for engineering microbes and discusses novel treatments for inflammatory bowel diseases based on engineered probiotics. The book also reviews the different options and methods for engineering microbes, ranging from recombinant DNA technology to designing microbes for targeting specific sites and delivering therapeutics. Further, it discusses genetically engineered microorganisms for smart diagnostics and describes current approaches in microbial gene editing using CRISPR-Cas9-based tools. Lastly, it summarizes the potential applications of human microbiome engineering in improving human health and explores potential strategies for scaling-up the production of engineered microbial strains for commercial purposes, as well as the challenges. Given its scope, this book is a valuable resource for students, researchers, academics and entrepreneurs interested in understanding microbial engineering for the production of commercial products.
    Type of Medium: Online Resource
    Pages: XI, 374 p. 45 illus., 44 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811939792
    DDC: 610.72
    Language: English
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  • 9
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Biotechnology. ; Bioinformatics. ; Biotechnology. ; Computational and Systems Biology.
    Description / Table of Contents: Web-based 3D visualisation of biological and medical data -- Ultrasound-Guided Regional Anaesthesia: Visualising Nerve and Needle -- Scanning conditions in functional connectivity magnetic resonance imaging: how to standardise resting-state for optimal data acquisition and visualisation? -- Interactive VR Stroke Rehabilitation System Design -- Systematic review of Augmented and Virtual Reality in anatomical education -- Interdimensional travel: Visualisation of 3D-2D transitions in anatomy learning -- Anatomy Visualizations Using Stereopsis: Assessment and Implication of Stereoscopic Virtual Models in Anatomical Education -- Storyboarding in Medical Animation -- The hidden curriculum of imaging and utilisation of unregulated social media resources within clinical education -- Online distance learning in biomedical sciences: Community, belonging and presence. .
    Abstract: This edited book explores the use of technology to enable us to visualise the life sciences in a more meaningful and engaging way. It will enable those interested in visualisation techniques to gain a better understanding of the applications that can be used in visualisation, imaging and analysis, education, engagement and training. The reader will be able to explore the utilisation of technologies from a number of fields to enable an engaging and meaningful visual representation of the biomedical sciences, with a focus in this volume related to anatomy, and clinically applied scenarios. The first eight chapters examine a variety of tools, techniques, methodologies and technologies which can be utilised to visualise and understand biological and medical data. This includes web-based 3D visualisation, ultrasound, virtual and augmented reality as well as functional connectivity magnetic resonance imaging, storyboarding and a variety of stereoscopic and 2D-3D transitions in learning. The final two chapters examine the pedagogy behind digital techniques and tools from social media to online distance learning techniques.
    Type of Medium: Online Resource
    Pages: XV, 181 p. 69 illus., 37 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030376390
    Series Statement: Advances in Experimental Medicine and Biology, 1235
    DDC: 660.6
    Language: English
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  • 10
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Biotechnology. ; Enzymology. ; Proteins. ; Bioinformatics. ; Microbial genetics. ; Biotechnology. ; Enzymology. ; Proteins. ; Bioinformatics. ; Microbial Genetics.
    Description / Table of Contents: Chapter 1. Introduction to Glycoside Hydrolases: Classification, identification and Occurrence -- Chapter 2. Glycosyl Hydrolases – Biochemistry and Applications -- Chapter 3. Lignocellulolytic and Chitinolytic Glycoside Hydrolases: Structure, Catalytic -- Chapter 4. Role of glycosyl hydrolases in breakdown of lignocellulosic waste and its industrial applications -- Chapter 5. Marine glycosyl hydrolases as tool for industrial application -- Chapter 6. Glycosyl Hydrolases and Biofuel -- Chapter 7. Role of Glycoside hydrolases in pulp and paper industries -- Chapter 8. Application of glycosyl hydrolases in food industry -- Chapter 9. The effects of xylanase synergistic interactions during lignocellulose degradation and their significance for industry -- Chapter 10. Role of metagenomics in discovery of industrially important cellulase.
    Abstract: This book gathers selected studies on the industrial applications of glycoside hydrolases (GHs), presenting an updated classification of these enzymes, and discussing their structure, mechanisms, and various approaches to improve their catalytic efficiency. Further, it explains the various industrial applications of glycoside hydrolases in food, effluent treatment, biofuel production, and the paper and pulp industries. Lastly, the book provides a comparative analysis of glycosyide hydrolases and discusses the role of metagenomics in the discovery of industrially important enzymes. As such it is a thought-provoking, instructive and informative resource for biochemists, enzymologists, molecular biologists and bioprocess technologists. .
    Type of Medium: Online Resource
    Pages: XXI, 259 p. 35 illus., 19 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9789811547676
    DDC: 660.6
    Language: English
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  • 11
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Medicine Research. ; Biology Research. ; Internal medicine. ; Bioinformatics. ; Biomedical Research. ; Internal Medicine. ; Bioinformatics.
    Description / Table of Contents: Part One: Basic Concepts in Precision Oncology -- Chapter 1. Design and Implementation of a precision oncology workflow -- Chapter 2. An overview of cancer genome sequencing -- Chapter 3. Software infrastructures for precision medicine workflows -- Part Two: Current Computational Methods and Tools in Precision Oncology -- Chapter 4. Somatic and germline variant calling from next-generation sequencing data -- Chapter 5. Identification of copy number alterations from next-generation sequencing data -- Chapter 6. Genome-wide discovery of large-scale structural variants from next-generation sequencing data -- Chapter 7. Assessment of microsatellite instability from next-generation sequencing data -- Chapter 8. Computational approaches for the investigation of intra-tumor heterogeneity and clonal evolution from bulk sequencing data -- Chapter 9. Analysis of the transcriptome for precision oncology applications -- Chapter 10. Computational methods for drug repurposing -- Chapter 11. Pathway for analysis for precision oncology applications -- Chapter 12. Identification of fusion transcripts from RNA-seq -- Chapter 13. Computational resources for the interpretation of variations in cancer -- Chapter 14. Analysis of electronic health records for precision oncology -- Chapter 15. Network approaches for precision oncology -- Chapter 16. Experimental validation of genomic alterations -- Part Three: Advanced Concepts - The Future of Precision Oncology -- Chapter 17. Molecular profiling of liquid biopsies for precision oncology -- Chapter 18. Artificial intelligence for precision oncology -- Chapter 19. Single-cell technologies in precision oncology -- Chapter 20. Computational approaches for precision immuno-oncology -- Chapter 21. Multi-pmics profiling of the tumor microenvironment -- Chapter 22. Epigenetic and precision oncology -- Chapter 23. Next generation knowledge bases to support precision oncology. .
    Abstract: Precision medicine holds great promise for the treatment of cancer and represents a unique opportunity for accelerated development and application of novel and repurposed therapeutic approaches. Current studies and clinical trials demonstrate the benefits of genomic profiling for patients whose cancer is driven by specific, targetable alterations. However, precision oncologists continue to be challenged by the widespread heterogeneity of cancer genomes and drug responses in designing personalized treatments. Chapters provide a comprehensive overview of the computational approaches, methods, and tools that enable precision oncology, as well as related biological concepts. Covered topics include genome sequencing, the architecture of a precision oncology workflow, and introduces cutting-edge research topics in the field of precision oncology. This book is intended for computational biologists, bioinformaticians, biostatisticians and computational pathologists working in precision oncology and related fields, including cancer genomics, systems biology, and immuno-oncology.
    Type of Medium: Online Resource
    Pages: XIV, 336 p. 36 illus., 26 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030918361
    Series Statement: Advances in Experimental Medicine and Biology, 1361
    DDC: 610.72
    Language: English
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  • 12
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Medicine Research. ; Biology Research. ; Bioinformatics. ; Sports sciences. ; Medical informatics. ; Biomedical Research. ; Bioinformatics. ; Sport Science. ; Health Informatics.
    Description / Table of Contents: Chapter 1. Ontologies and Knowledge Graphs for Exercise Medicine -- Chapter 2. Participatory exercise medicine and personalized healthcare -- Chapter 3. Integration of genetic and phenotyping data for sports medicine -- Chapter 4. Microbiota, sports and exercise medicine -- Chapter 5. Human immune system and exercise medicine: current process and future directions -- Chapter 6. Circadian Rhythm and Personalized Exercise -- Chapter 7. Data-driven Exercise Medicine for Cardiovascular Disease -- Chapter 8. Physical Activities and Prevention of Neurodegenerative Diseases -- Chapter 9. Exercise guidelines for cancer patients -- Chapter 10. Diabetes as a metabolic disease and translational exercise medicine informatics.
    Abstract: The book provides readers the informatics and data-driven models for the discovery of personalized excise prescriptions applied to different cases. Overdiagnosis or over-treatment often happened since the complex interaction among the lifestyle, genetic, and environmental factors. Sports and exercise are reported efficient to prevent or reduce the risk of diseases, but the interactions between sports/exercise and disease are personalized and complex. Translational informatics is a powerful paradigm and it promotes the transfer of big data, knowledge and models to the precision application of sports to prevent diseases. Sports and exercise may have different effects on diverse diseases including cancers, neurodegenerative disease, and cardiovascular diseases, etc. This book covers many modern informatics models such as ontologies, knowledge graphs, blockchain, participatory medicine, semantic artificial intelligence, big data modeling, and so on. It also describes the challenges for the sports and exercise medical data sharing and standardization, the privacy protection of data as well as the integration of data from genomic level to physiological phenotype level. This book will be helpful to the readers who are interesting in sports and exercise medicine, healthcare, big data modeling, artificial intelligence in medicine and healthcare. .
    Type of Medium: Online Resource
    Pages: IX, 234 p. 1 illus. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811691621
    DDC: 610.72
    Language: English
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  • 13
    Keywords: Paleoecology. ; Paleontology . ; Bioinformatics. ; Archaeology. ; Earth sciences. ; Paleoecology. ; Paleontology. ; Computational and Systems Biology. ; Archaeology. ; Earth Sciences.
    Description / Table of Contents: Chapter1. Introduction to Indian Late Cretaceous-Early Palaeocene Microbiota from the Deccan Intertrappean Beds of the Chhindwara District, Madhya Pradesh, India -- Chapter 2. Historical Background of Late Cretaceous-Early Palaeocene Microbiotic Assemblages from the Deccan Intertrappean Beds of the Chhindwara District, Madhya Pradesh, India -- Chapter 3. Geology and Stratigraphy of Microbiota-Bearing Deccan Intertrappean Beds of the Chhindwara District, Madhya Pradesh, India -- Chapter 4. Indian Late Cretaceous-Early Palaeocene Deccan Microbiota from Chhindwara District, Madhya Pradesh: Systematic Studies -- Chapter 5 Palaeoecological and Palaeoenvironmental Implications of the Cretaceous-Palaeogene Microbiota-Bearing Deccan Intertrappean beds of the Chhindwara District, Madhya Pradesh, India -- Chapter 6. Palaeobiogeographical Implications of Late Cretaceous-Early Palaeocene Microbiota from the Deccan Intertrappean beds of the Chhhindwara District, Madhya Pradesh, India.
    Abstract: This book describes the microbiota of the intertrappean beds in the Chhindwara District, Madhya Pradesh, India. In this work, special emphasis is placed on the microbiota from the Late Cretaceous-Early Palaeocene transition of the central Narmada River region. Recently, the intertrappean beds of the Eastern Deccan Volcanic Province (one of the subprovinces of the Deccan Volcanic Province) have received considerable attention, which resulted in the addition of some significant biotic assemblages to the existing record from the Dindori-Chhindwara area of the province. The biotic assemblages include charophytes, ostracods, foraminiferans, fishes, frogs, lizards, turtles, crocodiles, and mammals. In spite of the recent discoveries, the known fossil record of the Late Cretaceous-Early Palaeocene biota of India is not sufficient and thus does not permit us to speculate on the possible impact of environmental changes triggered by the Deccan volcanic lava flows on the contemporary biota and to precisely document their palaeoecologic, palaeoenvironmental and palaeobiogeographic implications. The recent biotic reports from the intertrappean beds exposed in the Chhindwara region of the Eastern Deccan Volcanic Province clearly indicate that these beds have a vast potential in terms of fossil content, which could reveal new and dissimilar biotic remains when compared to the Western Deccan Volcanic Province. The record of diverse accumulations of freshwater charophytes, brackish to freshwater ostracods, and planktic foraminiferal and fish assemblages from the intertrappean beds of Jhilmili and adjacent areas of Early Danian (P1a) age and lying just north of Chhindwara town and in the heart of peninsular India has intriguing implications for defining the age limits of the basaltic flows. The occurrence of non-marine taxa, for example, algae, molluscs, and vertebrates, associated with brackish water ostracods in the nearby Singpur and Mohgaon Kalan localities of the Chhindwara region, has also raised concerns about the sedimentary environments of these intertrappean beds. The new finds (presented in this book) prove useful for the better understanding of the palaeoecology and palaeoenvironment of the biota and also throw light on various paleobiogeographic models proposed for the northward drifting Indian plate. The microbiotic assemblages of the intertrappean beds of the eastern Deccan volcanic province at District Chhindwara, Madhya Pradesh are documented in this book. The microbiota of the central Narmada River region, the charophytes, ostracods, planktic foraminifera, and fishes, receive special attention in this study.
    Type of Medium: Online Resource
    Pages: XXIII, 274 p. 55 illus., 36 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031288555
    Series Statement: Topics in Geobiology ; 54
    DDC: 560.45
    Language: English
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  • 14
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Biotechnology. ; Computational intelligence. ; Bioinformatics. ; Biotechnology. ; Computational Intelligence. ; Bioinformatics.
    Description / Table of Contents: Chapter 1. Feature engineering and computational intelligence in ECG monitoring – an introduction -- Chapter 2. Representative Databases for Feature Engineering and Computational Intelligence in ECG Processing -- Chapter 3. An Overview of signal quality indices on dynamic ECG signal quality assessment -- Chapter 4. Signal quality features in dynamic ECGs -- Chapter 5. Motion Artifact Suppression Method in Wearable ECG -- Chapter 6. Data Augmentation for Deep Learning based ECG analysis -- Chapter 7. Study on Automatic Classification of Arrhythmias -- Chapter 8. ECG Interpretation with deep learning -- Chapter 9. Visualizing ECG contribution into Convolutional Neural Network classification -- Chapter 10. Atrial fibrillation detection in dynamic signals -- Chapter 11. Applications of Heart rate variability in Sleep Apnea -- Chapter 12. False Alarm Rejection for ICU ECG Monitoring -- Chapter 13. Respiratory Signal Extraction from ECG Signal -- Chapter 14. Noninvasive Recording of Cardiac Autonomic Nervous Activity--What’s behind ECG? -- Chapter 15. A questionnaire study on artificial intelligence and its effects on individual health and wearable device.
    Abstract: This book discusses feature engineering and computational intelligence solutions for ECG monitoring, with a particular focus on how these methods can be efficiently used to address the emerging challenges of dynamic, continuous & long-term individual ECG monitoring and real-time feedback. By doing so, it provides a “snapshot” of the current research at the interface between physiological signal analysis and machine learning. It also helps clarify a number of dilemmas and encourages further investigations in this field, to explore rational applications of feature engineering and computational intelligence in ECG monitoring. The book is intended for researchers and graduate students in the field of biomedical engineering, ECG signal processing, and intelligent healthcare.
    Type of Medium: Online Resource
    Pages: X, 268 p. 101 illus., 77 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9789811538247
    DDC: 660.6
    Language: English
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    Keywords: Medicine Research. ; Biology Research. ; Medical care. ; Quantitative research. ; Artificial intelligence Data processing. ; Health services administration. ; Bioinformatics. ; Biomedical Research. ; Health Care. ; Data Analysis and Big Data. ; Data Science. ; Health Care Management. ; Bioinformatics.
    Description / Table of Contents: 1. AI and Big Data for Intelligent Health: Promise and Potential -- 2. AI and Big Data for Cancer Segmentation, Detection and Prevention -- 3. Radiology, AI and Big Data: Challenges and Opportunities for Medical Imaging -- 4. Neuroradiology: Current Status and Future Prospects -- 5. Big Data and AI in Cardiac Imaging -- 6. Artificial Intelligence and Big data for COVID-19 Diagnosis -- 7. AI and Big Data for Drug Discovery -- 8. Blockchain of IoMT (BIoMT): A New Paradigm for COVID-19 Pandemic: Application, Architecture, Technology, and Security -- 9. AI and Big Data for Therapeutic Strategies in Psychiatry -- 10. Distributed Learning in Healthcare -- 11. Cybersecurity in Healthcare -- 12. Radiology and Radiomics: Towards oncology Prediction with IA and Big Data.
    Abstract: This book aims to present the impact of Artificial Intelligence (AI) and Big Data in healthcare for medical decision making and data analysis in myriad fields including Radiology, Radiomics, Radiogenomics, Oncology, Pharmacology, COVID-19 prognosis, Cardiac imaging, Neuroradiology, Psychiatry and others. This will include topics such as Artificial Intelligence of Thing (AIOT), Explainable Artificial Intelligence (XAI), Distributed learning, Blockchain of Internet of Things (BIOT), Cybersecurity, and Internet of (Medical) Things (IoTs). Healthcare providers will learn how to leverage Big Data analytics and AI as methodology for accurate analysis based on their clinical data repositories and clinical decision support. The capacity to recognize patterns and transform large amounts of data into usable information for precision medicine assists healthcare professionals in achieving these objectives. Intelligent Health has the potential to monitor patients at risk with underlying conditions and track their progress during therapy. Some of the greatest challenges in using these technologies are based on legal and ethical concerns of using medical data and adequately representing and servicing disparate patient populations. One major potential benefit of this technology is to make health systems more sustainable and standardized. Privacy and data security, establishing protocols, appropriate governance, and improving technologies will be among the crucial priorities for Digital Transformation in Healthcare.
    Type of Medium: Online Resource
    Pages: X, 251 p. 67 illus., 64 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783031111990
    Series Statement: Integrated Science, 9
    DDC: 610.72
    Language: English
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  • 16
    Keywords: Medicine Research. ; Biology Research. ; Biochemistry. ; Internal medicine. ; Lipids. ; Bioinformatics. ; Medical genetics. ; Biomedical Research. ; Chemical Biology. ; Internal Medicine. ; Lipidology. ; Computational and Systems Biology. ; Medical Genetics.
    Description / Table of Contents: Sterols from the post-lanosterol part of cholesterol synthesis – novel signaling players -- Genetic variability in cholesterol metabolism -- Side-chain oxidized oxysterols in health and disease -- Bile acids and TGR5 (Gpbar1) signaling -- Bile acids as regulatory signalling molecules -- Oxysterols and bile acid act as signaling molecules that regulate cholesterol homeostasis: nuclear receptors LXR, FXR, and fibroblast growth factor 15/19 -- Cytochrome P450 Metabolism Leads to Novel Biological Sterols and Other Steroids.
    Abstract: This book provides a comprehensive description of sterols and their novel biological roles in mammalian signaling, the book covers their biosynthesis and structure, describes sterol receptor -mediated actions, their tissue distribution and their role in disease. It offers insight into new research findings, focusing specifically on novel discoveries in bile acid and oxysterol signaling, including the lanosterol-to-cholesterol intermediates. Special attention is paid on the sex distribution of these sterols (male or female) and their sexually dimorphic roles in mammalian species, such as human, rat and mouse. Since sterols and drugs (xenobiotics) use many identical receptor-mediated signaling pathways, the book will be interesting for researchers working on the cross-road of endogenous and xenobiotic metabolism, it is intended for advanced students and scientists in molecular biology and biochemistry as well as medical doctors in hepatology.
    Type of Medium: Online Resource
    Pages: V, 171 p. 57 illus., 14 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030396848
    DDC: 610.72
    Language: English
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    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Biotechnology. ; Bioinformatics. ; Biotechnology. ; Computational and Systems Biology.
    Description / Table of Contents: Virtual Anatomy Museum – Facilitating Public Engagement Through An Interactive Application -- E-Learning And Embryology; Designing An Application To Improve 3D Comprehension Of Embryological Structures -- Animated Guide to Represent A Novel Means of Gut-brain Axis Communication -- Engaging with Children using Augmented Reality on Clothing to Prevent them from Smoking -- Enabling More Accessible MS Rehabilitation Training Using Virtual Reality -- The Use of Augmented Reality to Raise Awareness of the Differences between Osteoarthritis and Rheumatoid Arthritis -- Understanding the Brain and Exploring the Effects of Clinical Fatigue: From A Patient’s Perspective -- A Methodology for Visualising Growth and Development of the Human Temporal Bone -- Collect the Bones, Avoid the Cones: A Game-Based App for Public Engagement -- A Serious Game on Skull Anatomy for Dental Undergraduates. .
    Abstract: This edited book explores the use of technology to enable us to visualise the life sciences in a more meaningful and engaging way. It will enable those interested in visualisation techniques to gain a better understanding of the applications that can be used in visualisation, imaging and analysis, education, engagement and training. The reader will be able to explore the utilisation of technologies from a number of fields to enable an engaging and meaningful visual representation of the biomedical sciences, with a focus in this volume related to anatomy, and clinically applied scenarios. All chapters in this volume feature collaborative and innovative postgraduate research projects from graduate students of the MSc Medical Visualisation and Human Anatomy. This pioneering, world-leading postgraduate taught degree program is a joint partnership degree between the School of Life Sciences within the College of Medical, Veterinary and Life Sciences in the University of Glasgow, and the School of Simulation and Visualisation, The Glasgow School of Art. These chapters truly showcase the amazing and diverse technological applications that have been carried out as part of their research projects.
    Type of Medium: Online Resource
    Pages: XVI, 237 p. 268 illus., 238 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030439613
    Series Statement: Advances in Experimental Medicine and Biology, 1262
    DDC: 660.6
    Language: English
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  • 18
    Keywords: Biotechnology. ; Geriatrics. ; Medicine Research. ; Biology Research. ; Medical genetics. ; Bioinformatics. ; Regenerative medicine. ; Biotechnology. ; Geriatrics. ; Biomedical Research. ; Medical Genetics. ; Computational and Systems Biology. ; Regenerative Medicine and Tissue Engineering.
    Description / Table of Contents: PART I ~ ALTERATIONS IN CELLULAR MECHANISMS DURING AGING -- Chapter 1 Protein Structure and Function in Aging and Age-related Diseases -- Chapter 2 DNA, DNA Replication and Aging -- Chapter 3 Transcription and Aging -- Chapter 4 Ribosomes, Translation and Aging -- Chapter 5 p53 and Aging -- Chapter 6 Paired Box (Pax) Transcription Factors and Aging -- Chapter 7 Telomeres, Telomerase and Aging -- Chapter 8 The Epigenome of Ageing -- Chapter 9 Attaining Epigenetic Rejuvenation: Challenges Ahead -- Chapter 10 Mitochondria as a Key Player in Aging -- Chapter 11 Aging, Free Radicals and Reactive Oxygen Species: An Evolving Concept -- Chapter 12 Stem Cells and Aging -- Chapter 13 Can Autophagy Stop the Clock: Unravelling the Mystery in Dictyostelium discoideum -- Chapter 14 Aging: Reading, Reasoning and Resolving Using Drosophila as a Model System -- Chapter 15 Nothobranchius furzeri as a New Model System for Aging Studies -- PART II ALTERATIONS IN METABOLISM DURING AGING AND DISEASES -- Chapter 16 Aging in Muscle -- Chapter 17 Metabolic Diseases and Aging -- Chapter 18 Interplay Between Nutrient Sensing Molecules During Aging and Longevity -- Chapter 19 Protein Aggregation, Related Pathologies and Aging -- Chapter 20 Biological Rhythms and Aging -- Chapter 21 The Biology of Ageing and Cancer – A Complex Association.
    Abstract: The book deals with basic cellular and molecular mechanisms associated with aging. It comprehensively describes the important genetic, epigenetic, biochemical and metabolic regulations during aging, as well as some important age-related diseases.The book is divided into four major sections for easy understanding. It takes the readers through the various aspects of aging in a story-like manner. Certain interventions for healthy aging such as dietary restriction, regular exercise and maintaining a balanced and peaceful life-style are also suggested by the experts. The book would be a companion for both beginners, as well as established researchers in the field. It would be useful for science education, research, clinical approach and policy making.
    Type of Medium: Online Resource
    Pages: XIII, 497 p. 77 illus., 70 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9789813290051
    DDC: 660.6
    Language: English
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    Keywords: Paleoecology. ; Agricultural ecology. ; Environment. ; Forestry. ; Bioinformatics. ; Paleoecology. ; Agroecology. ; Environmental Sciences. ; Forestry. ; Computational and Systems Biology.
    Description / Table of Contents: Chapter 1. Presentation and Work Guide -- Chapter 2. General identification keys -- Chapter 3. Atlas of the most common xylophagous insects.
    Abstract: This atlas presents a concrete tool to identify xylophagous activity by the remains they left in wooded areas in Western Europe. Xylophagous insects are among the largest predators of woody tissues. They leave discriminating traces, different for each species according to their bioecology, and so it is necessary to know how to recognize and characterize them. The book is a practical tool to help identify and interpret them through a standardized presentation of the most ubiquitous families and a key to their determination. It presents descriptions of the galleries and of morphometry of the faecal pellets based on macroscopic features for xylophagous identification, and includes information about the origin and distribution of the xylophagous biological cycles, bioclimatic conditions and bioecology, and the type of woods that are attacked. The book will be a useful guide for forest managers, heritage conservationists, environmental engineers, bioarchaeologists, entomologists, loggers, and wood anatomists. .
    Type of Medium: Online Resource
    Pages: XVII, 220 p. 464 illus., 288 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030663919
    DDC: 560.45
    Language: English
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    Keywords: Biotechnology. ; Bioinformatics. ; Computer vision. ; Machine learning. ; Biotechnology. ; Bioinformatics. ; Computer Vision. ; Machine Learning.
    Description / Table of Contents: Chapter 1. An Integrated Design of Fuzzy C-Means and NCA based Multi-Properties Features Reduction for Brain Tumor Recognition -- Chapter 2. Hybrid Image Processing based Examination of 2D Brain MRI Slices to Detect Brain Tumour/Stroke Section – A Study -- Chapter 3. Edge Enhancing Coherence Diffusion Filter for Level Set Segmentation and Asymmetry Analysis using Curvelets in Breast Thermograms -- Chapter 4. Lung Cancer Diagnosis Based on Image Fusion and prediction using CT and PET image -- Chapter 5. Segmentation and Validation of Infrared Breast Images using Weighted Level Set and Phase Congruency Edge Map Framework -- Chapter 6. Analysis of Material Profile for Polymer Based Mechanical Microgripper for Thin Plate Holding -- Chapter 7. Design and Testing of Elbow Actuated Wearable Robotic Arm for Muscular Disorders -- Chapter 8. A Comprehensive Study of Image Fusion Techniques and Their Applications -- Chapter 9. Multilevel Mammogram Image Analysis for Identifying Outliers, Misclassification using Machine Learning -- Chapter 10. A Review on Automatic Detection of Retinal Lesions in Fundus Images for Diabetic Retinopathy -- Chapter 11. Medical Image Watermarking: A Review on Wavelet Based Methods -- Chapter 12. EEG Signal Extraction Analysis Techniques -- Chapter 13. Classification of sEMG Signal based Arm Action using Convolutional Neural Network -- Chapter 14. An Automated Approach for the Identification of TB Images Enhanced by Non-uniform Illumination Correction.
    Abstract: This book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning-based image analysis techniques, used in healthcare diagnostics. It highlights a range of data pre-processing methods used in signal processing for effective data mining in remote healthcare, and discusses pre-processing using filter techniques, noise removal, and contrast-enhanced methods for improving image quality. The book discusses the status quo of artificial intelligence in medical applications, as well as its future. Further, it offers a glimpse of feature extraction methods for reducing dimensionality and extracting discriminatory information hidden in biomedical signals. Given its scope, the book is intended for academics, researchers and practitioners interested in the latest real-world technological innovations.
    Type of Medium: Online Resource
    Pages: XIV, 283 p. 117 illus., 52 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9789811561412
    DDC: 660.6
    Language: English
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    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Medicine Research. ; Biology Research. ; Biomedical engineering. ; Bioinformatics. ; Biotechnology. ; Image processing Digital techniques. ; Computer vision. ; Biomedical Research. ; Biomedical Engineering and Bioengineering. ; Computational and Systems Biology. ; Biotechnology. ; Computer Imaging, Vision, Pattern Recognition and Graphics.
    Description / Table of Contents: Chapter 1. Pair-Matching Digital 3D Models Of Temporomandibular Fragments Using Mesh-To-Mesh Value Comparison And Implications For Commingled Human Remain Assemblages (Alana S. Acuff, Mara A. Karell, Konstantinos E. Spanakis, And Elena F. Kranioti) -- Chapter 2. Forensic Recreation And Visual Representation Of Greek Orthodox Church Saint, Eftichios of Crete (Nectarios Vidakis, Markos Petousis, Despoina Nathena, Elena F. Kranioti, Andreas Manios) -- Chapter 3. Virtual Trauma Analysis Of The 19th Century Severed Head Of The Greek Outlaw Stavrou (Elena F. Kranioti, Nikos Tsiatis, Kristina Frandson, Maria Stefanidou, Konstantinos Moraitis) -- Chapter 4. Using Computed Tomography (CT) Data To Build 3D Resources For Forensic Craniofacial Identification (Terrie Simmons-Ehrhardt, Catyana R.S. Falsetti, Anthony B. Falsetti) -- Chapter 5. Instructional Design Of Virtual Learning Resources For Anatomy Education (Nicolette S. Birbara, Nalini Pather) -- Chapter 6. Implementation Of Ultrasound In Anatomy Education (Claire Smith And Seb Barfoot) -- Chapter 7. What The Tech? The Management Of Neurological Dysfunction Through The Use Of Digital Technology (Caitlin Carswell And Paul M. Rea) -- Chapter 8. Teaching With Disruptive Technology: The Use Of Augmented, Virtual, And Mixed Reality (Hololens) For Disease Education (Zane Stromberga, Charlotte Phelps, Jessica Smith & Christian Moro) -- Chapter 9. “Inform the Head, Give Dexterity to the Hand, Familiarise the Heart”: Seeing and Using Digitised Eighteenth-Century Specimens in a Modern Medical Curriculum (Frances Osis) -- Chapter 10. Contact-Free Pulse Signal Extraction From Human Face Videos: A Review And New Optimised Filtering Approach (Muhammad Waqar, Reyer Zwiggelaar And Bernard Tiddeman).
    Abstract: This edited book explores the use of technology to enable us to visualise the life sciences in a more meaningful and engaging way. It will enable those interested in visualisation techniques to gain a better understanding of the applications that can be used in visualisation, imaging and analysis, education, engagement and training. The reader will also be able to learn about the use of visualisation techniques and technologies for the historical and forensic settings. The reader will be able to explore the utilisation of technologies from a number of fields to enable an engaging and meaningful visual representation of the biomedical sciences. In this volume, there are chapters which examine forensic and historical visualisation techniques and digital reconstruction, ultrasound, virtual learning resources and patient utilised software and hardware. The use of HoloLens as a disruptive technology is discussed as well as historical items as a feature in a modern medical curriculum. It concludes with a fascinating chapter on pulse extraction from facial videos. All in all, this volume has something for everyone whether that is faculty, students, clinicians and forensic practitioners, patients, or simply having an interest in one or more of these areas.
    Type of Medium: Online Resource
    Pages: XV, 202 p. 68 illus., 47 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030611255
    Series Statement: Advances in Experimental Medicine and Biology, 1317
    DDC: 610.72
    Language: English
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    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Biotechnology. ; Bioinformatics. ; Machine learning. ; Biotechnology. ; Computational and Systems Biology. ; Machine Learning. ; Bioinformatics.
    Description / Table of Contents: Chapter 1. A Brief Overview Of Applications Of Machine Learning In Life Sciences -- Chapter 2. Introduction To Artificial Intelligence (Ai) Methods In Biology -- Chapter 3. Machine Learning Methods -- Chapter 4. Introduction To Machine Learning Models -- Chapter 5. Model Selection Formachine Learning -- Chapter 6. Multivariate Methods In Machine Learning In The Context Of Biological Data -- Chapter 7. Dimensionality Reduction Methods In Machine Learning -- Chapter 8. Hidden Markov Method -- Chapter 9. Neural Network And Deep Learning. Chapter 10. Ethics In Machine Learning And Artificial Intelligence -- Chapter 11. Machine Learning And Life Sciences -- Chapter 12. Machine Learning And Negleced Tropical Diseases- Chapter 13. Machine Learning In Cardiovascular Diseases -- Chapter 14. Machine Learning And Diabetes -- Chapter 15. Machine Learning And Epilepsy -- Chapter 16. The Microsoft, Google, Facebook, Pytorch And Applications In Biology -- Chapter 17. Applications And Software Of Machine Learning And Ai In Medical Knowledge In Health -- Chapter 18. Cloud Computing Infrastructure In Healthcare Industry -- Chapter 19. Amazon Web Services (Aws) And Microsoft Azure In The Domain Of Life Sciences -- Chapter 20. Toxicity: An Introduction -- Chapter 21. Machine Learning (Ml) And Toxicity Studies. Chapter 22. Applications Of Machine Learning In Study Of Cell Biology -- Chapter 23. Genomics And Machine Learning -- Chapter 24. Cell Fate Analysis And Machine Learning -- Chapter 25. Study Of Biomarker And Machine Learning -- Chapter 26. Animal Behaviour: An Introduction -- Chapter 27. Study Of Animal Behaviour And Machine Learning -- Chapter 28. Machine Learning And Precision Farming -- Chapter 29. Machine Learning In The Study Of Animal Health And Veterinary Sciences -- Chapter 30. Macinelearning And Animalresorviors -- Chapter 31. Challenging Problems In Plant Biology -- Chapter 32. Machine Learning And Plant Sciences. Chapter 33. Machine Learning In Understanding Of Plant Pathogen Interactions -- Chapter 34. Machine Learning In Plant Disease Research -- Chapter 35. Biorobots -- Chapter 36. The Challenges To Application Of Machine Learning In Biological Sciences -- Chapter 37. The Future Of Machine Learning.
    Abstract: This book gives an overview of applications of Machine Learning (ML) in diverse fields of biological sciences, including healthcare, animal sciences, agriculture, and plant sciences. Machine learning has major applications in process modelling, computer vision, signal processing, speech recognition, and language understanding and processing and life, and health sciences. It is increasingly used in understanding DNA patterns and in precision medicine. This book is divided into eight major sections, each containing chapters that describe the application of ML in a certain field. The book begins by giving an introduction to ML and the various ML methods. It then covers interesting and timely aspects such as applications in genetics, cell biology, the study of plant-pathogen interactions, and animal behavior. The book discusses computational methods for toxicity prediction of environmental chemicals and drugs, which forms a major domain of research in the field of biology. It is of relevance to post-graduate students and researchers interested in exploring the interdisciplinary areas of use of machine learning and deep learning in life sciences.
    Type of Medium: Online Resource
    Pages: XXI, 336 p. 1 illus. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811688812
    DDC: 660.6
    Language: English
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    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Biotechnology. ; Medicine Research. ; Biology Research. ; Proteins. ; Bioinformatics. ; Human physiology. ; Biotechnology. ; Biomedical Research. ; Proteins. ; Bioinformatics. ; Human Physiology.
    Description / Table of Contents: Chapter 1. Modeling of protein complexes involved in signaling pathway for Non-Small Cell Lung Cancer -- Chapter 2. Role of BioJava in the Department of Bioinformatics Tools -- Chapter 3. Overview of machine learning methods in ADHD prediction -- Chapter 4. Simplified Protein Structure Prediction Using Parallel Genetic Algorithms -- Chapter 5. Applications of deep learning in drug discovery -- Chapter 6. Big Data Analytics for Handling NGS Data & its Applications in Identifying Cancer Mutations -- Chapter 7. Medicinal Properties of Fruit waste -- Chapter 8. Epigenetic toxicity of nanoparticles -- Chapter 9. Protein Misfolding and Aggregation in Neurodegenerative diseases -- Chapter 10. Enzyme technology prospectus & their Biomedical Applications -- Chapter 11. Polyunsaturated fatty acids enhance the recovery of bone marrow impairment caused after radiation -- Chapter 12. Nanomaterial Enabled Rapid Electrochemical Biosensors For Bacterial Pathogens -- Chapter 13. Heart Rate Variability Analysis in lung cancer patients to study the effect of treatment -- Chapter 14. Co-Relation of Physiological Signals And Therapy for Diagnostics Purpose of Periodic Limb Movement Disorder (Plmd) -- Chapter 15. Analysis of Forward Head Posture -- Chapter 16. Biopolymeric Smart Nano-Carriers for Drug Delivery Applications.
    Abstract: This book provides a single source of information on three major bioengineering areas: engineering at the cellular and molecular level; biomedical devices / instrument engineering; and data engineering. It explores the latest strategies that are essential to advancing our understanding of the mechanisms of human diseases, the development of new enzyme-based technologies, diagnostics, prosthetics, high-performance computing platforms for managing huge amounts of biological data, and the use of deep learning methods to create predictive models. The book also highlights the growing importance of integrating chemistry into life sciences research, most notably concerning the development and evaluation of nanomaterials and nanoparticles and their interactions with biological material. The underlying interdisciplinary theme of bioengineering is addressed in a range of multifaceted applications and worked out examples provided in each chapter.
    Type of Medium: Online Resource
    Pages: XIII, 229 p. 79 illus., 48 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9789811520631
    DDC: 660.6
    Language: English
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  • 24
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Medicine Research. ; Biology Research. ; Bioinformatics. ; Medical informatics. ; Quantitative research. ; Biomedical Research. ; Bioinformatics. ; Health Informatics. ; Data Analysis and Big Data.
    Description / Table of Contents: Chapter 1. Introduction to multi-omics -- Part 1. Omics integration techniques -- Chapter 2. Biomedical applications: the need for multi-omics -- Chapter 3. Omics technologies and big data -- Chapter 4. Multi-omics data mining techniques: algorithms and software -- Part 2. Applications of multi-omics analyses -- Chapter 5. Multi-omics data analysis for cancer research: colorectal cancer, liver cancer and lung cancer -- Chapter 6. Multi-omics data analysis for inflammation disease research: correlation analysis, causal analysis and network analysis -- Chapter 7. Microbiome data analysis and interpretation: correlation inferences and dynamic pattern discovery -- Chapter 8. Current progress of bioinformatics for human health.
    Abstract: This book features multi-omics big-data integration and data-mining techniques. In the omics age, paramount of multi-omics data from various sources is the new challenge we are facing, but it also provides clues for several biomedical or clinical applications. This book focuses on data integration and data mining methods for multi-omics research, which explains in detail and with supportive examples the “What”, “Why” and “How” of the topic. The contents are organized into eight chapters, out of which one is for the introduction, followed by four chapters dedicated for omics integration techniques focusing on several omics data resources and data-mining methods, and three chapters dedicated for applications of multi-omics analyses with application being demonstrated by several data mining methods. This book is an attempt to bridge the gap between the biomedical multi-omics big data and the data-mining techniques for the best practice of contemporary bioinformatics and the in-depth insights for the biomedical questions. It would be of interests for the researchers and practitioners who want to conduct the multi-omics studies in cancer, inflammation disease, and microbiome researches.
    Type of Medium: Online Resource
    Pages: XI, 167 p. 1 illus. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789811982101
    Series Statement: Translational Bioinformatics, 19
    DDC: 610.72
    Language: English
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  • 25
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Medicine Research. ; Biology Research. ; Bioinformatics. ; Virology. ; Medical informatics. ; Biomedical Research. ; Bioinformatics. ; Virology. ; Health Informatics.
    Description / Table of Contents: Chapter 1. Databases, Knowledgebases and Software Tools for Virus Informatics -- Chapter 2. Detection and Prevention of Virus Infection -- Chapter 3. Bioinformatics for the Origin and Evolution of Viruses -- Chapter 4. In silico Drug Discovery for Treatment of Virus Diseases -- Chapter 5. Vaccines and Immunoinformatics for Vaccine Design -- Chapter 6. Predicting the Disease Severity of Virus Infection -- Chapter 7. Modeling the Virus Infection at the Population Level -- Chapter 8. Health-Based Geographic Information Systems for Mapping and Risk Modeling of Infectious Diseases and COVID-19 to Support Spatial Decision-Making -- Chapter 9. 5G, Big data and AI for Smart City and Prevention of Virus Infection.-.
    Abstract: This book introduces the translational informatics applied to most aspects of virus infection, including tracking of virus origin, detection and prevention of infection, drug discovery, and vaccine design as well as smart city-level monitoring and controlling of the virus epidemic by government. It covers the informatics for data mining and modelling at molecular, tissue/organ, individual, and population levels. The informatics for immunological mechanisms and the personalized prediction and treatment of infected patients are also summarized. The perspectives on the application of artificial intelligence to the prevention of virus outbreaks are also given. This book will be helpful to readers who are interested in prevention of virus infection, biomedical informatics, and artificial intelligence in medicine and healthcare.
    Type of Medium: Online Resource
    Pages: VII, 218 p. 1 illus. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811689697
    Series Statement: Advances in Experimental Medicine and Biology, 1368
    DDC: 610.72
    Language: English
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  • 26
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Medicine Research. ; Biology Research. ; Bioinformatics. ; Data mining. ; Application software. ; Biomedical Research. ; Bioinformatics. ; Data Mining and Knowledge Discovery. ; Computer and Information Systems Applications.
    Description / Table of Contents: Chapter 1. Integrative Bioinformatics: History and Perspective -- Chapter 2. From Genotypes to Phenotypes - A Plant Perspective on Current Developments in Data Management and Data Publication -- Chapter 3. Research data resources for epidemiology -- Chapter 4. Data Warehousing of Life Science Data -- Chapter 5. Automation in Graph-Based Data Integration and Mapping -- Chapter 6. DaTo: an Integrative Web Portal for Biological Databases and Tools -- Chapter 7. The Use of Data Integration and Knowledge Graphs in Modern Molecular Plant Breeding -- Chapter 8. Integrative data analysis and exploratory data mining in biological knowledge graphs -- Chapter 9. Exploring plant transcription factor regulatory networks -- Chapter 10. Microbiome and big-data mining -- Chapter 11. Data Integration Applications in Medical Information Systems -- Chapter 12. Visualising Metabolic Pathways and Networks: Past,Present,Future -- Chapter 13. Comprehensive open-source Petri net toolchain for modeling and simulation in systems biology -- Chapter 14. Immersive Exploration of Cell Localization Scenarios using VR, Spatialized Video Communication and Integrative Bioinformatics -- Chapter 15. IoS: a Needed Platform for Scientific Workflow Management -- Chapter 16. Revealing genotype-phenotype interactions: The AgroLD experience and challenges -- Chapter 17. Interactive Data Analyses Using Tbtools -- Chapter 18. Analyzing multi-omic data with integrative platforms.
    Abstract: This book provides an overview of the history of integrative bioinformatics and the actual situation and the relevant tools. Subjects cover the essential topics, basic introductions, and latest developments; biological data integration and manipulation; modeling and simulation of networks; as well as a number of applications of integrative bioinformatics. It aims to provide basic introduction of biological information systems and guidance for the computational analysis of systems biology. This book covers a range of issues and methods that unveil a multitude of omics data integration and relevance that integrative bioinformatics has today. It contains a unique compilation of invited and selected articles from the Journal of Integrative Bioinformatics (JIB) and annual meetings of the International Symposium on Integrative Bioinformatics.
    Type of Medium: Online Resource
    Pages: XI, 386 p. 1 illus. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811667954
    DDC: 610.72
    Language: English
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  • 27
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Medicine Research. ; Biology Research. ; Biomedical engineering. ; Biophysics. ; Medical physics. ; Signal processing. ; Bioinformatics. ; Biomedical Research. ; Biomedical Engineering and Bioengineering. ; Biophysics. ; Medical Physics. ; Signal, Speech and Image Processing . ; Bioinformatics.
    Description / Table of Contents: Preface -- Part I: Backscatter Coefficient methods -- Chapter 1. Quantitative Ultrasound: an Emerging Technology for Detecting, Diagnosing, Imaging, Evaluating, and Monitoring Disease (Ernie Feleppa) -- Chapter 2. Quantitative Ultrasound: Scattering theory (Michael Oelze) -- Chapter 3. Quantitative Ultrasound: Experimental implementation (Michael Oelze) -- Chapter 4. Extracting Quantitative Ultrasonic Parameters from the Backscatter Coefficient (Aiguo Han) -- Part II: Attenuation Estimation Methods -- Chapter 5. Attenuation Compensation and Estimation (Timothy Bigelow and Yassin Labyed) -- Chapter 6. Recent advances in attenuation estimation (Ivan Rosado Mendez) -- Part III: Envelope Statistics Methods -- Chapter 7. Review of envelope statistics models for quantitative ultrasound imaging and tissue characterization (Francois Destrempes and Guy Cloutier) -- Chapter 8. Information entropy and its applications (Po-Hsaing Tsui) -- Part IV: Ultrasound Computed Tomography -- Chapter 9. Ultrasound Tomography (Nicole Ruiter, Torsten Hopp, Michael Zapf and Hartmut Gemmek) -- Chapter 10. Full Wave Inversion and Inverse Scattering in Ultrasound Tomography/Volography (James Wiskin) -- Chapter 11. Clinical Importance of 3D Volography in Breast Imaging (John Klock) -- Part V: Acoustic microcopy -- Chapter 12. Acoustic Microscopy (Yoshifumi Saijo) -- Chapter 13. Advanced Topics in Quantitative Acoustic Microscopy (Cameron Hoerig and Jonathan Mamou) -- Part VI: Phantoms for Quantitative Ultrasound -- Chapter 14. Phantoms for Quantitative Ultrasound (Tim Stiles) -- Index.
    Abstract: Quantitative ultrasound (QUS) continues to mature as a research field and is primed to make a swift transition to routine preclinical and clinical applications. This book will serve two main purposes: Advanced education in QUS by providing a complete and thorough review of all theoretical, physical, and engineering aspects of QUS. Review of recent development of QUS by lead contributors in the research field. This 2nd edition will focus on 6 modern research topics related to quantitative ultrasound of soft tissues: Spectral-based methods for tissue characterization, tissue typing, cancer detection, etc. Attenuation estimation for tissue characterization and improving spectral based methods Envelope statistics analysis as a means of quantifying and imaging tissue properties. Ultrasound computed tomography for preclinical and clinical imaging. Scanning acoustic microscopy for forming images of mechanical properties of soft tissues with micron resolution. Phantoms for quantitative ultrasound.
    Type of Medium: Online Resource
    Pages: X, 307 p. 1 illus. , online resource.
    Edition: 2nd ed. 2023.
    ISBN: 9783031219870
    Series Statement: Advances in Experimental Medicine and Biology, 1403
    DDC: 610.72
    Language: English
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  • 28
    Keywords: Medicine Research. ; Biology Research. ; Genetics. ; Bioinformatics. ; Biomedical Research. ; Genetics and Genomics. ; Bioinformatics.
    Description / Table of Contents: Chapter 1_Introduction to Pulmonary Diseases and OMICS approaches -- Chapter 2_Obstructive Pulmonary Diseases -- Chapter 3_COPD (Chronic Obstructive Pulmonar Diseases) -- Chapter 4_ Asthma -- Chapter 5_Other obstructive airway diseases like Bronchiectases, Focal airway narrowing -- Chapter 6_Restrictive Pulmonary Diseases (Common qualities and features with examples) -- Chapter 7_Interstitial Pulmonary fibrosis (IPF) -- Chapter 8_Sarcoidosis -- Chapter 9_ Other restrictive airway diseases like pneumonitis, pleural thickening -- Chapter 10_Vascular Diseases -- Chapter 11_Pulmonary hypertension -- Chapter 12_Pulmonary edema -- Chapter 13_ Other vascular diseases like Pulmonary Edema, Cor Pulmonale -- Chapter 14_Infectious Diseases -- Chapter 15_Tuberculosis -- Chapter 16_Cystic fibrosis -- Chapter 17_Pneumonia, COVID-19 and others -- Chapter 18_Neoplastic Diseases/Lung Cancer.
    Abstract: This book comprehensively reviews various omics approaches like genomics, proteomics, transcriptomics, and metabolomics for understanding pulmonary disease at molecular and systems levels. The initial chapters present the pathogenesis of major pulmonary diseases, namely, obstructive diseases, restrictive diseases, vascular diseases, infectious diseases, and neoplastic carcinoma. The book chapters provide current information about the role of the microbiome and applications of medical imaging, bioinformatics tools, and databases for diagnosis and designing treatment strategies against complex lung diseases. Further, the book discusses omics technologies to identify biomarkers for the early diagnosis and prognosis of pulmonary diseases. Finally, the book elucidates the multi-omics approaches and data integration using mathematical modeling for insights into the disease etiology towards improving the prognostics and predictive accuracy of disease phenotypes.
    Type of Medium: Online Resource
    Pages: XIII, 405 p. 1 illus. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819935055
    DDC: 610.72
    Language: English
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