Biomedical translational research : technologies for improving healthcare / / R. C. Sobti and Aastha Sobti

• Autore: Sobti R. C.
• Pubblicazione: Singapore : , : Springer, , [2022]; ©2022
• Descrizione fisica: 1 online resource (500 pages)
• Disciplina: 610.28
• Soggetto topico: Biomedical engineering; Enginyeria biomèdica; Investigació mèdica
• Soggetto genere / forma: Llibres electrònics
• Persona (resp. second.): SobtiAastha
• Nota di contenuto: Intro -- Preface -- Contents -- About the Editors -- 1: Introduction to Emerging Technologies in Biomedical Sciences -- 1.1 Introduction -- 1.2 Imaging Cells to Molecules in 3D -- 1.3 Genetic Engineering with Precision -- 1.4 Omics Technologies -- 1.5 Next-Generation Sequencing -- 1.6 Spectroscopy of Single-Molecule and Mixtures -- 1.7 Informatics and Simulations -- 1.8 Automation and Miniaturization of Experiments (Robotic Liquid Handling Systems and Microfluidics) -- 1.9 Microelectromechanical Systems in Biology (Bio-MEMS) -- 1.10 Personalized Medicine -- 1.11 Exosomes in Cancer Immunotherapy -- 1.12 Neuronal Tracing Techniques -- 1.13 Miniaturized Bioreactors -- 1.14 Transcranial Magnetic Stimulation (TMS) -- 1.15 Bionic Organism or Cyborg Cells -- 1.16 Conclusion -- References -- 2: Bioprospecting: Boon or Curse -- 2.1 United Nations Convention on Biological Diversity. -- 2.2 Virtues of Bioprospecting -- 2.3 Demons of Bioprospecting -- 2.4 Resolution to the Concerns -- 2.5 Conclusions and Future Prospects -- References -- 3: Growing Need for Interdisciplinary Biomedical Research -- 3.1 Introduction -- 3.2 Interdisciplinary Research -- 3.2.1 Cardiovascular Health and Diseases -- 3.2.2 Studies on Pathogens -- 3.2.3 Schizophrenia -- 3.3 Increasing Urgency in Some Fields of Research -- 3.4 Why Do We Need Interdisciplinary Research? -- 3.5 Future Directions for Interdisciplinary Research -- 3.6 Concluding Remarks -- References -- 4: Interplay Between Theory and Experiment: A Future Approach for Biomedical Research -- 4.1 History -- 4.2 Introduction -- 4.2.1 Cytochrome P450 (P450) -- 4.3 Experiment That Created Doubt -- 4.3.1 Site-Directed Mutagenesis -- 4.3.1.1 Ethylene Epoxidation by CPD 0 and CPD I -- 4.3.2 DFT and QM/MM Studies of Alkyl Sulfide -- 4.3.2.1 Sulfoxidation by Cpd 0 and Cpd I -- 4.3.2.2 Radical Clock Experiment. ; Rebound Controversy and Its Resolution by TSR Scenarios -- 4.3.2.3 Products Isotope Effect and TSR -- 4.3.2.4 Quantum Mechanical and Molecular Mechanical Application in Biomedical -- 4.4 Establishing and Testing Reaction Mechanisms -- 4.4.1 Lysozymes -- 4.4.2 Citrate Synthase -- 4.5 QM/MM Modeling of Drug Target Enzyme -- 4.5.1 Fatty-Acid Amide Hydrolase (FAAH) -- 4.5.2 Zn Enzymatic Drug Metabolism: Antibiotic Hydrolysis by Metallo-β-Lactamases Enzymes -- 4.6 Summary -- References -- 5: Past, Present, and Future Perspective of Biomedical Innovation in India -- 5.1 Introduction -- 5.2 Background to Biomedical Innovation in India -- 5.3 Biomedical Innovation in India: Lessons Learned from the Past -- 5.4 Contemporary Advancements in Biomedical Innovation -- 5.5 Lessons Learnt from Pre-COVID Biomedical Innovation in India -- 5.6 ``Innovations´´ Stimulated by the COVID-19 Pandemic -- 5.7 Lessons from COVID-Related Innovations -- 5.8 Future Perspectives: The Way Forward -- 5.9 Conclusion -- References -- 6: Systems Biology Approaches to Study Disease Comorbidities -- 6.1 Introduction -- 6.2 Systems Network Biology Perspective to Study Disease Co-occurrence -- 6.3 Analysis of Disease Co-occurrence Using Biological Networks -- 6.3.1 Using Protein-Protein Interaction to Study Diseases -- 6.3.2 Using Gene-Gene Interaction Networks to Study Diseases -- 6.3.3 Pathway Enrichment Analysis or Functional Enrichment Analysis -- 6.3.4 Disease-Gene Interaction -- 6.4 Identifying Critical Hub Proteins and Probable Therapeutic Targets -- 6.5 Concluding Remarks -- References -- 7: Bioinformatics: The Interactome of Multidisciplinary Approaches -- 7.1 Introduction -- 7.2 Bioinformatics Databases -- References -- 8: Role of Artificial Intelligence in Diagnosis of Infectious Diseases -- 8.1 Impact of Infectious Diseases -- 8.2 New Technologies for Infectious Diseases. ; 8.3 History of Artificial Intelligence -- Box 8.1 Definitions -- 8.4 Clinical Microbiology and Artificial Intelligence -- 8.4.1 Microscopy Image Analysis -- 8.4.2 Digital Plate Reading (DPR) -- 8.4.3 Matrix-Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDITOF MS) -- 8.4.4 Antimicrobial Resistance Prediction by Whole Genome Sequencing (WGS) -- 8.5 AI in Infection Prevention and Control (IPC) -- 8.5.1 Surveillance of Healthcare Associated Infections (HAI) -- 8.5.2 Improved Laboratory Diagnosis to Facilitate IPC Interventions -- 8.5.3 Hand Hygiene -- 8.6 Disease Surveillance and Epidemiology -- 8.7 Role of Artificial Intelligence in COVID-19 Pandemic -- 8.7.1 Predicting and Monitoring the Infection -- 8.7.2 Early Detection and Diagnosis of Infection -- 8.7.3 Monitoring Treatment -- 8.7.4 Surveillance -- 8.7.5 Real-Time Spread Tracking and Contact Tracing -- 8.7.6 Projection of Cases and Mortality -- 8.7.7 Creating Chatbots -- 8.7.8 Treatment Through AI -- 8.8 Summary, Conclusion, and Future Prospects -- References -- 9: DNA Digital Data Storage: Breakthroughs in Biomedical Research -- 9.1 Introduction -- 9.2 Why Scientist Selected DNA for Data Storage System -- 9.3 How Data Can Be Stored in DNA -- 9.4 Related Work -- 9.5 Conclusion -- References -- 10: Biomedical Applications Cloud-Based IoT -- 10.1 Introduction -- 10.2 Related Work -- 10.3 Internet of Things Model -- 10.3.1 Internet -- 10.3.2 Processing -- 10.3.3 Things -- 10.3.4 Hierarchical Architecture -- 10.3.4.1 Physical Layer -- 10.3.4.2 Network Layer -- 10.3.4.3 Middleware Layer -- 10.3.4.4 Application Layer -- 10.3.5 Cloud Model -- 10.3.5.1 Software as a Service (SaaS) -- 10.3.5.2 Platform as a Service (Paas) -- 10.3.5.3 Infrastructure as a Service (IaaS) -- 10.4 Integrated Cloud with IoT (Cloud IoT) -- 10.4.1 Features of Integrated Cloud IoT -- 10.4.1.1 Storage Space. ; 10.4.1.2 Computing Power -- 10.4.1.3 Communication -- 10.4.1.4 New Security Model -- 10.4.2 Cloud IoT Applications -- 10.4.2.1 Smart Health Care -- 10.4.2.2 Internet of Robotic Things (IoRT) -- 10.4.2.3 Signal Processing -- 10.4.2.4 Smart Medical Devices -- 10.4.2.5 Wearable IoT (WIoT) -- 10.4.3 Open Challenges in Integrated Cloud IoT -- 10.4.3.1 Privacy and Security -- 10.4.3.2 Need for Standard Architecture of Protocol -- 10.4.3.3 Efficient Power Consumption -- 10.4.3.4 Limited Bandwidth -- 10.4.3.5 Delayed Services -- 10.5 Conclusion -- References -- 11: Next-Generation Sequencing in Cancer Research -- 11.1 Introduction -- 11.2 Overview of the Experimental Approach for DNA/RNA Sequencing Platforms -- 11.2.1 Whole-Exome Sequencing (WES) -- 11.2.2 Whole-Genome Sequencing (WGS) -- 11.2.3 Targeted Panel Sequencing -- 11.2.4 RNA Sequencing (RNA-seq) -- 11.2.5 Single-Cell DNA/RNA Sequencing -- 11.3 NGS Utility in Clinical Oncology in Solid Tumors -- 11.4 NGS Utility in Clinical Oncology in Liquid Biopsies -- 11.5 Challenges of NGS Technologies -- 11.6 Concluding Remarks -- References -- 12: CRISPR: Genome Editing and Beyond -- 12.1 Introduction -- 12.2 Discovery -- 12.3 Classification -- 12.3.1 Class 1 -- 12.3.2 Class 2 -- 12.4 Molecular Mechanism -- 12.4.1 Adaptation -- 12.4.2 crRNA Biogenesis -- 12.4.3 Interference -- 12.5 Applications -- 12.5.1 Genome Editing -- 12.5.2 Transcriptional Regulation -- 12.5.3 Post-transcriptional Engineering -- 12.5.4 Programmable DNA and RNA Imaging -- 12.5.5 Nucleic Acid Detection and Diagnostics -- 12.6 Future Prospects -- References -- 13: Omics in Tuberculosis Diagnosis: Today and Tomorrow -- 13.1 Introduction -- 13.2 Genomics in TB Diagnosis -- 13.2.1 TB Diagnostic Tests Available in the Clinics Based on Genomics -- 13.2.2 Recent Advances and Future Prospective in Genomics for Tuberculosis Diagnosis. ; 13.3 Proteomics in TB Diagnosis -- 13.3.1 TB Diagnostic Tests Available in the Clinics Based on Proteomics -- 13.3.2 Recent Advances and Future Prospective in Proteomics for Tuberculosis Diagnosis -- 13.3.2.1 Pathogen Proteomic Biomarkers as Candidates for TB Diagnosis -- 13.3.2.2 Host Proteomic Biomarkers Candidate for TB Diagnosis -- 13.4 Other Omics Technologies for Potential Use for TB Diagnosis -- 13.5 Concluding Remarks -- References -- 14: Advances in Proteomics Approaches and Chronic Kidney Disease -- 14.1 Introduction -- 14.2 Historical Background -- 14.3 Proteomics Advancements and Chronic Kidney Disease -- 14.3.1 Advancements in Proteomics Analysis -- 14.3.2 Chronic Kidney Disease and Proteomics -- 14.4 Conclusion -- References -- 15: 3D Bioprinting of Tissues and Organs: A New Paradigm in Regenerative Medicine and Biomedical Engineering -- 15.1 Introduction -- 15.2 History -- 15.3 3D Bioprinting Procedure -- 15.4 Bioinks -- 15.5 Hydrogels for Bioprinting -- 15.6 Methods of 3D Bioprinting -- 15.6.1 Inkjet-Based Bioprinting -- 15.6.2 Laser-Based Bioprinting -- 15.6.3 Extrusion Bioprinting/Direct Writing -- 15.6.4 Bioplotting -- 15.6.5 Fused-Deposition Modeling (FDM) -- 15.6.6 Stereolithography (SL) -- 15.7 Applications of 3D Bioprinting -- 15.7.1 Tissues and Organs Printing -- 15.7.2 Customized Implants and Prostheses -- 15.7.3 Anatomical Models -- 15.7.4 3D-Printed Dosage Forms and Drug Delivery Devices -- 15.7.5 Unique Dosage Forms -- 15.7.6 Drug Testing -- 15.7.7 Other Applications with Some Challenges -- 15.8 Tissue Engineering and Regenerative Medicine -- 15.8.1 Components of Tissue Engineering -- 15.8.1.1 Scaffold -- 15.8.1.2 Cells -- 15.8.1.3 Growth Factors -- 15.8.2 Limitations -- 15.8.3 3D Bioprinting and Tissue Engineering -- 15.8.4 Tissue Engineering of Different Organs -- 15.8.4.1 Cardiac -- 15.8.4.2 Liver. ; 15.8.4.3 Cartilage Bone.
• Titolo autorizzato: Biomedical Translational Research
• ISBN: 981-16-4344-X; 981-16-4345-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910743225003321
• Lo trovi qui: Univ. Federico II