AI and Personalized Medicine in Cardiometabolic Disease
Principles, Applications and Future Perspectives
- 1 Edición - 1 de marzo de 2027
- Última edición
- Editores: M. Salman Khan, Kholis A. Audah, Firoz Akhter
- Idioma: Inglés
AI and Personalized Medicine in Cardiometabolic Disease: Principles, Applications and Future Perspectives offers a comprehensive and timely exploration of how artificial intell… Leer más
Descripción
Descripción
AI and Personalized Medicine in Cardiometabolic Disease: Principles, Applications and Future Perspectives offers a comprehensive and timely exploration of how artificial intelligence (AI) is revolutionizing personalized care for cardiometabolic diseases. This authoritative volume bridges foundational AI concepts with cutting-edge translational applications, guiding clinicians, researchers, and data scientists through the integration of AI-driven tools in diagnosis, risk prediction, biomarker discovery, and tailored treatment strategies. Featuring real-world case studies, ethical and regulatory insights, and future-focused discussions on emerging technologies and equitable implementation, this book is an essential resource for healthcare professionals and scientists aiming to harness AI’s full potential to improve patient outcomes in cardiovascular and metabolic health.
Puntos claves
Puntos claves
- Integrates perspectives from clinicians, biomedical researchers, and AI specialists to provide a holistic understanding of AI-driven personalized medicine in cardiometabolic care
- Offers practical guidance on applying AI tools for diagnosis, risk stratification, biomarker discovery, and treatment optimization in real-world cardiometabolic disease management
- Addresses critical issues such as data privacy, bias, and regulatory readiness, helping readers navigate the challenges of implementing AI responsibly in healthcare
De interès para
De interès para
Clinicians, biomedical researchers, and AI specialists focused on cardiometabolic disease diagnosis and personalized treatment
Índice
Índice
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
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
Detalles del producto
Detalles del producto
- Edición: 1
- Última edición
- Publicado: 1 de marzo de 2027
- Idioma: Inglés
Sobre los editores
Sobre los editores
MK
M. Salman Khan
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.
Afiliaciones y experiencia
Associate Professor in Biotechnology, Era University, IndiaKA
Kholis A. Audah
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.
Afiliaciones y experiencia
Senior Associate Professor of Biochemistry, Swiss German University, IndonesiaFA
Firoz Akhter
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.
Afiliaciones y experiencia
Research Scientist Department of Biomedical Engineering SUNY-Stony Brook University, USA