Produktbild: AI and Personalized Medicine in Cardiometabolic Disease
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AI and Personalized Medicine in Cardiometabolic Disease Principles, Applications and Future Perspectives

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.03.2027

Herausgeber

M. Salman Khan + weitere

Verlag

Elsevier

Seitenzahl

290

Maße (L/B)

23,5/19,1 cm

Gewicht

449 g

Sprache

Englisch

ISBN

978-0-443-44382-4

Beschreibung

Portrait

Dr Khan is an Associate Professor in Biotechnology at Era University, India, with a Ph.D. in Biochemistry from Aligarh Muslim University. He has 20 years of research experience in cardiovascular disease, Type 2 diabetes, redox biology, and natural product pharmacology. Dr. Khan has published extensively and has received awards including the SERB Young Scientist Award and Outstanding Scientist Award. He has supervised numerous Ph.D. students and led several nationally funded projects. Dr. Khan is a member of the Royal Society of Biology (UK), National Academy of Sciences (India), and the Society for Free Radical Biology and Medicine (USA). He serves as Academic Editor for PLOS ONE and is on editorial boards of multiple journals. His work focuses on translational research and advancing scientific knowledge in metabolic and cardiovascular diseases.

Dr Audah is a Senior Associate Professor of Biochemistry at Swiss German University, Indonesia. He earned his PhD in Biochemistry from Auburn University and completed postdoctoral research in infectious diseases at Yale University. With a Master’s in Molecular Biology and a Bachelor’s in Chemistry and Biochemistry, his research focuses on drug and biomarker discovery related to drug-resistant microorganisms. Dr. Audah developed a patented microscope scanner for cancer cell detection and received an Innovation Award from the Indonesian Food and Drug Administration. He actively contributes to scientific communities and serves as National Advisor for the UNDP on Biomedical and Genome Science in Indonesia.

He is an accomplished editor and neuroscientist with a strong background in academic publishing and biomedical research. He holds a Ph.D. in Biotechnology and has completed postdoctoral training at the University of Kansas, Columbia University Medical Center, and Stony Brook University. His research has been published in high-impact journals including PNAS, Nature Communications, and Brain.

Dr. Akhter has served as a guest editor for Frontiers in Neuroscience, Frontiers in Nanotechnology, and Frontiers in Genetics, contributing to content development, peer review coordination, and editorial strategy. He has also reviewed manuscripts for prestigious journals such as Scientific Reports, Free Radical Biology and Medicine (FRBM), and the International Journal of Biochemistry & Molecular Biology (IJBMB).

With a keen eye for detail and a passion for clarity, Dr. Akhter is dedicated to bringing out the best in scientific writing and advancing rigorous, impactful communication in science.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.03.2027

Herausgeber

Verlag

Elsevier

Seitenzahl

290

Maße (L/B)

23,5/19,1 cm

Gewicht

449 g

Sprache

Englisch

ISBN

978-0-443-44382-4

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: AI and Personalized Medicine in Cardiometabolic Disease
  • Part I: Foundations of AI and Personalized Medicine
    1. Introduction to AI and Personalized Medicine in Cardiometabolic Disease
    2. Comprehensive AI Methods for Healthcare Applications
    3. Principles and Applications of Personalized Medicine

    Part II: Cardiometabolic Disease: AI-Driven Epidemiology and Clinical Challenges
    4. AI-Enabled Epidemiological Approaches to Cardiometabolic Diseases
    5. Current Clinical Challenges and AI Opportunities in Cardiometabolic Disease Management

    Part III: Practical AI Applications in Cardiometabolic Research and Care
    6. AI in Biomarker Discovery and Risk Prediction
    7. AI in Medical Diagnostics and Imaging
    8. AI-Guided Personalized Treatment Strategies
    9. Remote Monitoring and Digital Health with AI

    Part IV: Integrated Translational Research and Clinical Applications
    10. Translating AI Research into Clinical Practice
    11. AI in Clinical Trials and Drug Development
    12. Ethical, Legal, and Regulatory Issues in AI-Driven Cardiometabolic Care

    Part V: Future Perspectives and Global Implementation
    13. Emerging AI Technologies and Multi-Omics Integration
    14. Global Perspectives and Equitable AI Access
    15. The Road Ahead for AI in Cardiometabolic Medicine