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NanoBioMedicine (2020)

Saxena, Shailendra K. [editor.] ; Khurana, S. M. Paul. [editor.]

Singapore :Springer Nature Singapore :

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Keywords: Biotechnology. ; Nanotechnology. ; Cancer. ; Stem cells. ; Diseases. ; Biotechnology. ; Nanotechnology. ; Cancer Biology. ; Stem Cell Biology. ; Diseases.

Description / Table of Contents: Chapter 1.Current Advances in Nanotechnology and Medicine -- Chapter 2. Least Explored Small Wonders: Nano-biotechnology -- Chapter 3. Modern Approaches in Nanomedicine for neuroAIDS and CNS drug delivery -- Chapter 4. Nanobiotechnology: Paving the way to personalized medicine -- Chapter 5. Nanomedicine in cancer stem cell therapy -- Chapter 6. Nanobiosensor: Current Trends and Applications -- Chapter 7. Transition Metal Oxide Nanoparticles: A New Horizon in Cancer Treatment -- Chapter 8. Nanomedicine meets microRNA expression and function in prostate cancer -- Chapter 9. Biomedical applications of Viral Nanoparticles in vaccine therapy -- Chapter 10. HIV: Biology to Nanomedicine -- Chapter 11. Current Advances in Phage Inspired Nanocarriers Based Therapy -- Chapter 12. Nanophytotherapeutic potential of Essential Oils against Candida infections -- Chapter 13. Molecular tests for the Diagnosis of Tuberculosis: Nanodiagnostics Approaches -- Chapter 14. Molecular Mechanisms of drug resistance in Mycobacterium tuberculosis: Role of nanoparticles against Multi-Drug Resistant tuberculosis (MDR-TB) -- Chapter 15. Nano-Mass spectrometry (nano-MS) based lipidomics -- Chapter 16. Techniques to understand Mycobacterial Lipids and use of Lipid Based Nanoformulations for Tuberculosis Management -- Chapter 17. Recent trends and challenges in Patches for cardiac tissue reengineering: role of Nanomaterials -- Chapter 18. Cyclic dinucleotides: Big roles of small molecules and its role in nanotechnology and medicine -- Chapter 19. Antibodies: Biology to Therapeutics and its role in nanomedicine -- Chapter 20. Nanotoxicology in Medicine -- Chapter 21. Antibody-targeted nanoparticles for cancer treatment -- Chapter 22. Nanoparticle mediated combined photothermal and photodynamic therapy -- Chapter 23. Nanotechnology based devices and its applications in medicine- Chapter 24. Opportunities in clinical translation and commercialization of nanomedicine. .

Abstract: This book provides a comprehensive overview of the recent trends in various Nanotechnology-based therapeutics and challenges associated with its development. Nanobiotechnology is an interdisciplinary research that has wide applications in the various fields of biomedical research. The book discusses the various facets of the application of Nanotechnology in drug delivery, clinical diagnostics, Nanomedicine and treatment of infectious and chronic diseases. The book also highlights the recent advancements on important devices and applications that are based on Nanotechnology in medicine and brief the regulatory and ethical issues related to nanomedical devices. It also reviews the toxicological profile of various nanomaterials and emphasizes the need for safe nanomaterials for clinical use. Finally, the book discusses the recent developments of potential commercial applications of Nanotechnology. .

Type of Medium: Online Resource

Pages: XX, 517 p. 90 illus., 63 illus. in color. , online resource.

Edition: 1st ed. 2020.

ISBN: 9789813298989

URL: https://doi.org/10.1007/978-981-32-9898-9

DOI: 10.1007/978-981-32-9898-9

DDC: 660.6

Language: English

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Artificial Intelligence in Medical Virology (2023)

Moy Chatterjee, Jyotir. [editor.] ; Saxena, Shailendra K. [editor.]

Singapore :Springer Nature Singapore :

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Keywords: Virology. ; Diseases Causes and theories of causation. ; Artificial intelligence. ; Virology. ; Pathogenesis. ; Artificial Intelligence.

Description / Table of Contents: Chapter 1. Artificial Intelligence for Global Healthcare -- Chapter 2. Artificial Intelligence for Epidemiology COVID-19: Quick Assessment -- Chapter 3. Artificial Intelligence in rural health in developing countries -- Chapter 4. THE ROLE OF ARTIFICIAL INTELLIGENCE TO TRACK COVID-19 DISEASE -- Chapter 5. Artificial Intelligence Techniques based on K-Means two way Clustering and Greedy Triclustering approach for 3D Gene Expression Data (GED) -- Chapter 6. Detection of COVID-19 cases from X-Ray and CT Images using Transfer Learning & Deep Convolution Neural Networks -- Chapter 7. Computer Vision: Augmented Reality (AR), Virtual Reality (VR), Telehealth and Digital Radiology -- Chapter 8. STROKE DISEASE PREDICTION MODEL USING ANOVA WITH CLASSIFICATION ALGORITHMS -- Chapter 9. A CONCISE REVIEW ON DEVELOPMENTAL AND EVALUATION METHODS OF ARTIFICIAL INTELLIGENCE ON COVID 19 DETECTION -- Chapter 10. Artificial Intelligence based Healthcare Industry 4.0 for Disease Detection using Machine Learning Techniques -- Chapter 11. Deep Autoencoder Neural Networks for Heart Sound Classification.

Abstract: This book comprehensively reviews the potential of Artificial Intelligence (AI) in biomedical research and healthcare, with a major emphasis on virology. The initial chapter presents the applications of machine learning methods for structured data, such as the classical support vector machine and neural network, modern deep learning, and natural language processing for unstructured data in biomedical research and healthcare. The subsequent chapters explore the applications of AI in tackling COVID-19, analysis of the pandemic, viral infection, disease spread, and control. The book further identifies the potential applications of machine learning in the field of virology with a focus on the key aspects of infection: diagnosis, transmission, response to treatment, and resistance. The book also discusses progress and challenges in developing viral vaccines and examines the application of viruses in translational research and human healthcare. Furthermore, the book covers the applications of artificial intelligence-mediated diagnosis and the development of drugs to treat the disease. Towards the end, the book summarizes the ethical and legal challenges posed by AI in healthcare and biomedical research. This book is an invaluable source for researchers, medical and industry practitioners, academicians, and students exploring the applications of AI in biomedical research and healthcare.

Type of Medium: Online Resource

Pages: XVI, 189 p. 1 illus. , online resource.

Edition: 1st ed. 2023.

ISBN: 9789819903696

Series Statement: Medical Virology: From Pathogenesis to Disease Control,

URL: https://doi.org/10.1007/978-981-99-0369-6

DOI: 10.1007/978-981-99-0369-6

DDC: 579.2

Language: English

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Applications of Artificial Intelligence in COVID-19 (2021)

Nandan Mohanty, Sachi. [editor.] ; Saxena, Shailendra K. [editor.] ; Satpathy, Suneeta. [editor.] ; [et al.]

Singapore :Springer Nature Singapore :

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Keywords: Virology. ; Epidemiology. ; Artificial intelligence. ; Virology. ; Epidemiology. ; Artificial Intelligence.

Description / Table of Contents: Chapter 1.Comprehensive Claims of AI for Healthcare Applications-Coherence towards COVID-19 -- Chapter 2. Artificial Intelligence based systems for combating COVID-19 -- Chapter 3. Artificial intelligence mediated medical diagnosis of COVID-19 -- Chapter 4. AI combined with medical imaging enables rapid diagnosis for COVID-19 -- Chapter 5. Role of Artificial Intelligence in COVID-19 prediction based on Statistical Methods -- Chapter 6. Data Driven symptom Analysis and Location Prediction Model for Clinical Health Data Processing and Knowledgebase Development for COVID 19 -- Chapter 7. A decision support System using Rule based Expert System For COVID -19 Prediction and Diagnosis -- Chapter 8. A Predictive Mechanism to Intimate the Danger of Infection via nCOVID-19 through Unsupervised Learning -- Chapter 9. AI-enabled prognosis technologies for SARS Co-2. Chapter 10. Intelligent agent Based Case Base Reasoning Systems Build Knowledge Representation in COVID-19 analysis of Recovery, Infectious Patients -- Chapter 11. Epidemic Analysis of COVID 19 Using Machine Learning -- Chapter 12. Machine learning application in COVID-19 drug development -- Chapter 13. COVID 19 Epidemic Analysis Using Linear and Polynomial Regression Approach -- Chapter 14. Prediction & Analysis of outbreak of COVID-19 Pandemic Using Machine Learning -- Chapter 15. Predictive Risk Analysis by using Machine Learning during Covid-19 -- Chapter 16. Analysis and Validation of Risk Prediction by Stochastic Gradient Boosting Along With Recursive Feature Elimination for COVID-19 -- Chapter 17. Artificial intelligence in mental healthcare during COVID-19 pandemic -- Chapter 18. Effect of Covid-19 on Autism Spectrum Disorder: Prognosis, diagnosis and therapeutics based On AI -- Chapter 19. Use of mobile phone apps for contact tracing to control the COVID-19 pandemic: A Literature Review -- Chapter 20. Role of IoT and Social Networking in Mental Healthcare of Transgender Community in Covid-19 Pandemic -- Chapter 21. TECHNOLOGY ACCEPTANCE AND USE OF IOT DURING COVID 19 PANDEMIC-CASE STUDY OF HEALTH SECTOR IN INDIA. Chapter 22. Artificial Intelligence – The Strategies used in COVID-19 for Diagnosis -- Chapter 23. Impact of Isolation and Quarantine on Covid-19 Patients and Potential Role of Technology in Mitigation -- Chapter 24. Impact of loneliness and Quarantine on COVID-19 patients with artificial intelligence applications -- Chapter 25. Can Technology fight the loneliness Lockdown: A study of factors Affecting Loneliness in NCR during COVID 19 -- Chapter 26. Psycho-economic Impact of Obligatory Job Switching during Covid-19 Pandemic: A Study of Hawkers in Bhubaneswar (India) -- Chapter 27. AI’s Role in Essential Commodities during a Pandemic Situation -- Chapter 28.Impact of COVID-19 on Manufacturing and Operational Ecosystem in India -- Chapter 29. Impact of Repatriated Migrants on the Production Possibility of Agricultural Sector owing to Covid: A Study on the basis of Inferential Statistics -- Chapter 30. Nicotine in Covid-19: Friend or Foe”;? -- Chapter 31. Artificial Intelligence in Covid’19: Application and Legal Conundrums.

Abstract: The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.

Type of Medium: Online Resource

Pages: XX, 595 p. 216 illus., 147 illus. in color. , online resource.

Edition: 1st ed. 2021.

ISBN: 9789811573170

Series Statement: Medical Virology: From Pathogenesis to Disease Control,

URL: https://doi.org/10.1007/978-981-15-7317-0

DOI: 10.1007/978-981-15-7317-0

DDC: 579.2

Language: English

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Coronavirus Disease 2019 (COVID-19) : Epidemiology, Pathogenesis, Diagnosis, and Therapeutics (2020)

Saxena, Shailendra K. [editor.]

Singapore :Springer Nature Singapore :

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Keywords: Virology. ; Parasitology. ; Immunology. ; Genetics. ; Virology. ; Parasitology. ; Immunology. ; Genetics and Genomics.

Description / Table of Contents: Module 1_Global trends in epidemiology of Coronavirus Disease 2019 (COVID-19) -- Module 2_ Genome organization and Pathogenesis of novel Coronavirus 2019 (SARS-CoV-2) -- Module 3_Host immune response against human SARS-CoV-2 infection -- Module 4_ Emergence and Re-emergence of SARS Coronaviruses -- Module 5_Transmission cycle of SARS-CoV and SARS-CoV-2 -- Module 6_Preparing for the perpetual challenges of pandemics of Coronavirus infections with special focus on SARS-CoV-2. –Module 7_Clinical manifestations and diagnosis of human SARS-CoV-2 infection -- Module 8_ Treatment and Drugs for SARS-CoV-2 -- Module 9_Prevention and control strategies for SARS-CoV-2 infection.

Abstract: This book provides a comprehensive overview of recent novel coronavirus (SARS-CoV-2) infection, their biology and associated challenges for their treatment and prevention of novel Coronavirus Disease 2019 (COVID-19). Discussing various aspects of COVID-19 infection, including global epidemiology, genome organization, immunopathogenesis, transmission cycle, diagnosis, treatment, prevention, and control strategies, it highlights host-pathogen interactions, host immune response, and pathogen immune invasion strategies toward developing an immune intervention or preventive vaccine for COVID-19. An understanding of the topics covered in the book is imperative in the context of designing strategies to protect the human race from further losses and harm due to SARS-CoV-2 infection causing COVID-19.

Type of Medium: Online Resource

Pages: XX, 213 p. 53 illus., 50 illus. in color. , online resource.

Edition: 1st ed. 2020.

ISBN: 9789811548147

Series Statement: Medical Virology: From Pathogenesis to Disease Control,

URL: https://doi.org/10.1007/978-981-15-4814-7

DOI: 10.1007/978-981-15-4814-7

DDC: 579.2

Language: English

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Coronavirus disease 2019 (COVID-19) : epidemiology, pathogenesis, diagnosis, and therapeutics (2020)

Saxena, Shailendra K. [HerausgeberIn]

Singapore : Springer

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Call number: 9789811548147 (e-book)

Description / Table of Contents: This book provides a comprehensive overview of recent novel coronavirus (SARS-CoV-2) infection, their biology and associated challenges for their treatment and prevention of novel Coronavirus Disease 2019 (COVID-19). Discussing various aspects of COVID-19 infection, including global epidemiology, genome organization, immunopathogenesis, transmission cycle, diagnosis, treatment, prevention, and control strategies, it highlights host-pathogen interactions, host immune response, and pathogen immune invasion strategies toward developing an immune intervention or preventive vaccine for COVID-19. An understanding of the topics covered in the book is imperative in the context of designing strategies to protect the human race from further losses and harm due to SARS-CoV-2 infection causing COVID-19.

Type of Medium: 12

Pages: 1 Online-Ressource (XX, 213 Seiten) , Illustrationen

Edition: corrected publication 2020

ISBN: 9789811548147 , 978-981-15-4814-7

ISSN: 2662-981X , 2662-9828

Series Statement: Medical virology: from Pathogenesis to disease control

URL: Ebook (access only within the AWI network)

DOI: 10.1007/978-981-15-4814-7

Language: English

Note: Contents 1 Current Insight into the Novel Coronavirus Disease 2019 (COVID-19) / Shailendra K. Saxena, Swatantra Kumar, Vimal K. Maurya, Raman Sharma, Himanshu R. Dandu, and Madan L. B. Bhatt 2 Global Trends in Epidemiology of Coronavirus Disease 2019 (COVID-19) / Nishant Srivastava, Preeti Baxi, R. K. Ratho, and Shailendra K. Saxena 3 Morphology, Genome Organization, Replication, and Pathogenesis of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) / Swatantra Kumar, Rajni Nyodu, Vimal K. Maurya, and Shailendra K. Saxena 4 Transmission Cycle of SARS-CoV and SARS-CoV-2 / Tushar Yadav and Shailendra K. Saxena 5 Host Immune Response and Immunobiology of Human SARS-CoV-2 Infection / Swatantra Kumar, Rajni Nyodu, Vimal K. Maurya, and Shailendra K. Saxena 6 Clinical Characteristics and Differential Clinical Diagnosis of Novel Coronavirus Disease 2019 (COVID-19) / Raman Sharma, Madhulata Agarwal, Mayank Gupta, Somyata Somendra, and Shailendra K. Saxena 7 Coronavirus Infection Among Children and Adolescents / Sujita Kumar Kar, Nishant Verma, and Shailendra K. Saxena 8 COVID-19: An Ophthalmological Update / Ankita, Apjit Kaur, and Shailendra K. Saxena 9 Laboratory Diagnosis of Novel Coronavirus Disease 2019 (COVID-19) Infection / Abhishek Padhi, Swatantra Kumar, Ekta Gupta, and Shailendra K. Saxena 10 Therapeutic Development and Drugs for the Treatment of COVID-19 / Vimal K. Maurya, Swatantra Kumar, Madan L. B. Bhatt, and Shailendra K. Saxena 11 Prevention and Control Strategies for SARS-CoV-2 Infection / Nishant Srivastava and Shailendra K. Saxena 12 Classical Coronaviruses / Nitesh Kumar Jaiswal and Shailendra K. Saxena 13 Emergence and Reemergence of Severe Acute Respiratory Syndrome (SARS) Coronaviruses / Preeti Baxi and Shailendra K. Saxena 14 Preparing for the Perpetual Challenges of Pandemics of Coronavirus Infections with Special Focus on SARS-CoV-2 / Sonam Chawla and Shailendra K. Saxena 15 Preparing Children for Pandemics / Rakhi Saxena and Shailendra K. Saxena 16 Coping with Mental Health Challenges During COVID-19 / Sujita Kumar Kar, S. M. Yasir Arafat, Russell Kabir, Pawan Sharma, and Shailendra K. Saxena Correction to: Transmission Cycle of SARS-CoV and SARS-CoV-2 / Tushar Yadav and Shailendra K. Saxena

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Reply to 'Encephalitis outbreak finds Indian officials unprepared' (2006)

Saxena, Shailendra K ; Singh, Maneesh ; Pathak, Ajai K ; [et al.]

[s.l.] : Nature Publishing Group

Nature medicine 12 (2006), S. 269-270

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ISSN: 1546-170X

Source: Nature Archives 1869 - 2009

Topics: Biology , Medicine

Notes: [Auszug] To the editor: We have found that the Japanese encephalitis outbreak in India, described in a recent news article by T.V. Padma, is overblown, leading to erroneous diagnosis of many encephalitis cases. Media reports have attributed the outbreak primarily to Japanese encephalitis, but that is ...

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1038/nm0306-269b

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Engineering receptor-mediated cytotoxicity into human ribonucleases by steric blockade of inhibitor interaction (1999)

Suzuki, Motoshi ; Saxena, Shailendra K. ; Boix, Ester ; [et al.]

[s.l.] : Nature America Inc.

Nature biotechnology 17 (1999), S. 265-270

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ISSN: 1546-1696

Source: Nature Archives 1869 - 2009

Topics: Biology , Process Engineering, Biotechnology, Nutrition Technology

Notes: [Auszug] Several nonmammalian members of the RNase A superfamily exhibit anticancer activity that appears to correlate with resistance to the cytosolic ribonuclease inhibitor (RI). We mutated two human ribonucle- ases—pancreatic RNase (hRNAse) and eosinophil-derived neurotoxin (EDN)—to ...

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1038/7010

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