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Aprašymas
Artificial intelligence (AI) is actively reshaping the landscape of medicine. This volume provides a comprehensive guide on how AI is being used to tailor treatments to the individual, predict diseases before they manifest, and design therapies based on a patient's unique genetic, environmental, and lifestyle profile. The chapters in this book are organized into six parts: Part One looks at the foundations of trustworthy AI in precision medicine; Part Two explores AI-driven multi-omics and discovery; Part Three discusses accelerating therapeutic innovation; Part Four talks about how AI is used in clinical imaging and intervention; Part Five covers the uses of wearables, interfaces, and real-world data; and Part Six explores the future of advanced simulation and systems. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Trailblazing and thorough, Artificial Intelligence and Precision Medicine is a valuable resource for a diverse audience, from clinicians and medical students seeking to understand the technologies impacting their practice, to data scientists and AI researchers aiming to apply their skills to meaningful healthcare challenges, and to biologists and pharmacologists looking to leverage AI for discovery.
Artificial intelligence (AI) is actively reshaping the landscape of medicine. This volume provides a comprehensive guide on how AI is being used to tailor treatments to the individual, predict diseases before they manifest, and design therapies based on a patient's unique genetic, environmental, and lifestyle profile. The chapters in this book are organized into six parts: Part One looks at the foundations of trustworthy AI in precision medicine; Part Two explores AI-driven multi-omics and discovery; Part Three discusses accelerating therapeutic innovation; Part Four talks about how AI is used in clinical imaging and intervention; Part Five covers the uses of wearables, interfaces, and real-world data; and Part Six explores the future of advanced simulation and systems. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Trailblazing and thorough, Artificial Intelligence and Precision Medicine is a valuable resource for a diverse audience, from clinicians and medical students seeking to understand the technologies impacting their practice, to data scientists and AI researchers aiming to apply their skills to meaningful healthcare challenges, and to biologists and pharmacologists looking to leverage AI for discovery.
Atsiliepimai