UID:
almahu_9950003166102882
Umfang:
1 online resource (296 pages)
Ausgabe:
1st ed.
ISBN:
9780443136726
,
0443136726
,
9780443136719
,
0443136718
Serie:
Advanced Studies in Complex Systems Series
Inhalt:
This book, 'Artificial Intelligence for Medicine,' serves as a comprehensive reference on the application of AI in medical fields. Edited by experts including Shaiben-David and Giuseppe Curigliano, it explores the integration of AI into various medical disciplines such as oncology, pathology, drug development, and diagnosis. The book aims to provide a detailed understanding of AI methods and their impact on precision medicine, cancer research, and patient treatment outcomes. It addresses the challenges and ethical considerations in adopting AI technologies in healthcare. The intended audience includes medical professionals, researchers, and students interested in the intersection of AI and health sciences.
Anmerkung:
Front Cover -- Artificial Intelligence for Medicine -- Copyright -- Contents -- Contributors -- About the editors -- Chapter 1: Artificial intelligence in cancer research and precision medicine -- 1. Introduction -- 2. Common learning approaches for cancer medicine -- 2.1. Supervised learning -- 2.1.1. Linear models -- 2.1.2. Decision tree models -- 2.1.3. Ensemble models -- 2.1.4. Neural networks -- 2.2. Unsupervised learning -- 3. Artificial intelligence in cancer screening, detection, and diagnosis -- 3.1. Digital pathology -- 3.2. Imaging -- 4. AI and molecular data -- 4.1. Variant calling and gene variant discovery -- 4.2. Targeted therapy directed by genetic testing -- 4.3. Early cancer detection and minimal residual disease with liquid biopsy -- 4.4. Translational research -- 5. Drug development -- 5.1. Drug discovery and design -- 5.2. Drug repurposing -- 5.3. Drug activity and efficacy -- 6. Predicting treatment outcomes in patients with cancer -- 7. Methodological challenges -- 7.1. Validation is crucial to trust AI algorithms
Sprache:
Englisch
Bookmarklink
