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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.
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
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.
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
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