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  • Books  (8)
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  • Books  (8)
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  • E-Books: Biomedical and Life Sciences (AWI only)  (8)
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  • English  (8)
  • German
  • Polish
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  • 2020-2024  (8)
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  • 1
    Online Resource
    Online Resource
    Regionalized Management of Medicine (2022)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Medicine Research. ; Biology Research. ; Therapeutics. ; Medical informatics. ; Translational Research. ; Therapeutics. ; Health Informatics.
    Description / Table of Contents: Introduction: The importance of regionalized management of medicine -- Alcohol use disorders -- Public-private partnerships management in health care: The Portuguese experience -- Management of Clinical Precision Medicine -- Artificial Intelligence in medical management -- Advanced Demand Forecasting and Inventory Management Methods in Hospital Pharmacy -- Clinical Application of Cell-Based Therapies Opportunities and Challenges -- Management of Next-Generation Sequencing (NGS) in Precision Medicine -- Exploration on the Reform of County Medical Integration -- The Regionalization of Medical Management: The Practice and Exploration of Established Fudan-Minhang Medical Alliance -- Bed-occupancy management and hospital planning: a handbook -- Management of severe childhood pneumonia in low resource setting -- The role of mitochondrial-targeted antioxidant, MitoQ, in neurodegenerative disease -- Progression of mitochondria research for clinical potentials -- DNA methylation in pulmonary inflammatory diseases -- Synthetic lethality and lung cancer.
    Abstract: The Book mainly focuses on various aspects of regionalized management of medicine, related with updates of new biotechnology, application of therapeutic strategy, and understanding of disease-associated molecular mechanisms. The book also discusses how medical informatics, systems analysis, database sharing, and artificial intelligent can be applied for improving the quality of hospital managements, disease therapies, regional collaborations, and medical services. This book serves as a professional reference book to clinicians and experts who are interested in medical informatics and artificial intelligence for diseases therapies and therapeutic strategy, better systems analysis and database sharing, and more efficient regional collaborations and medical services.
    Type of Medium: Online Resource
    Pages: X, 226 p. 1 illus. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811678936
    Series Statement: Translational Bioinformatics, 17
    URL: https://doi.org/10.1007/978-981-16-7893-6
    DOI: 10.1007/978-981-16-7893-6
    DDC: 610.72
    Language: English
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  • 2
    Online Resource
    Online Resource
    Biomedical Translational Research : Drug Design and Discovery (2022)
    Singapore :Springer Nature Singapore :
    Details
    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
    URL: https://doi.org/10.1007/978-981-16-9232-1
    DOI: 10.1007/978-981-16-9232-1
    DDC: 610.72
    Language: English
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  • 3
    Online Resource
    Online Resource
    Microbial Engineering for Therapeutics (2022)
    Singapore :Springer Nature Singapore :
    Details
    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
    URL: https://doi.org/10.1007/978-981-19-3979-2
    DOI: 10.1007/978-981-19-3979-2
    DDC: 610.72
    Language: English
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  • 4
    Online Resource
    Online Resource
    Computational Methods for Precision Oncology (2022)
    Cham :Springer International Publishing :
    Details
    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
    URL: https://doi.org/10.1007/978-3-030-91836-1
    DOI: 10.1007/978-3-030-91836-1
    DDC: 610.72
    Language: English
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  • 5
    Online Resource
    Online Resource
    Translational Informatics : Sports and Exercise Medicine (2022)
    Singapore :Springer Nature Singapore :
    Details
    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
    URL: https://doi.org/10.1007/978-981-16-9162-1
    DOI: 10.1007/978-981-16-9162-1
    DDC: 610.72
    Language: English
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  • 6
    Online Resource
    Online Resource
    Trends of Artificial Intelligence and Big Data for E-Health (2022)
    Cham :Springer International Publishing :
    Details
    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
    URL: https://doi.org/10.1007/978-3-031-11199-0
    DOI: 10.1007/978-3-031-11199-0
    DDC: 610.72
    Language: English
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  • 7
    Online Resource
    Online Resource
    Translational Informatics : Prevention and Treatment of Viral Infections (2022)
    Singapore :Springer Nature Singapore :
    Details
    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
    URL: https://doi.org/10.1007/978-981-16-8969-7
    DOI: 10.1007/978-981-16-8969-7
    DDC: 610.72
    Language: English
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  • 8
    Online Resource
    Online Resource
    Integrative Bioinformatics : History and Future (2022)
    Singapore :Springer Nature Singapore :
    Details
    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
    URL: https://doi.org/10.1007/978-981-16-6795-4
    DOI: 10.1007/978-981-16-6795-4
    DDC: 610.72
    Language: English
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