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by Pranav Kumar Prabhakar (Editor), Ashok K. Sah (Editor)
The rapid advancements made in artificial intelligence (AI) are transforming the landscape of metabolic medicine, offering unprecedented opportunities for early diagnosis, personalized treatment, and precision healthcare. Metabolic disorders, including diabetes, obesity, metabolic syndrome, and lipid disorders, pose significant global health challenges, demanding innovative solutions that go beyond traditional medical approaches. AI-driven technologies such as machine learning, deep, learning, predictive analytics, and big data processing are revolutionizing the way clinicians and researchers understand, diagnose, and manage metabolic diseases. Revolutionizing Metabolic Medicine With Artificial Intelligence explores the intersection of AI and metabolic medicine, providing insights into the latest AI-driven methodologies for disease prediction, risk assessment, therapeutic optimization, and patient management. From AI-powered diagnostic tools to digital therapeutics, this book delves into how computational intelligence is reshaping clinical decision-making and improving patient outcomes. Covering topics such as diabetes management, predictive analytics, and wearable technology, this book is an excellent resource for endocrinologists, diabetologists, metabolic disease specialists, AI and biomedical researchers, clinicians, academicians, policymakers, and more.
