Buch, Englisch, Format (B × H): 178 mm x 254 mm
Reihe: Methods in Molecular Biology
ISBN: 978-1-0716-5694-5
Verlag: Springer Us
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
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,
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.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Pharmakologie, Toxikologie
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Biomedizin, Medizinische Forschung, Klinische Studien
Weitere Infos & Material
Statistical Design, Inference, and Trustworthy Medical AI.- Analyzing Electronic Health Records for Precision Medicine.- AI-Assisted Diagnosis: Big Data Analytics in Clinical Decision Support.- The Development and Practice of Clinical Application Prediction Models.- Individual Treatment Effect Estimation Based on AI.- Artificial Intelligence and Deep Learning Approaches in Genome-Wide Association Studies.- Genome Sequencing and Analysis for Assessing genetic Disease Risk: AI-Driven Frontier and Breakthrough Directions.- AI Analysis of Symbiotic Microorganisms and personalized Diagnosis and Treatment.- From Data to Discovery: Machine Learning-Driven Integration of Multi-Omics Data in Oncology.- Tailored Therapies Guided by Multi-Omics Integration: Principles, Applications, and Future Directions.- Multi-Task Learning for Precision Medicine: Architectures, Applications, and Future Directions.- Construction and Evaluation of Organoids.- AI-Driven Analysis of Patient-Derived Models.- Deep Learning for Protein-Compound Interaction Prediction: Methods and Generalization.- Protein-Compound Binding Site Prediction via Machine Learning: Methods and Advances.- Prediction of Human-Virus Protein-Protein Interactions.- AI-Driven Approaches in Pharmacogenomics for Precision Medicine.- AI for Drug Toxicity and Side Effects Prediction.- Medical Imaging Analysis of X-Ray, MRI, and CY Scans for Clinical Diagnostics.- Progress in the Application of Artificial Intelligence in Radiotherapy: From Image Guidance to Adaptive Radiation Therapy.- Robot Navigation for Precise Puncture of Solid Tumors.- From Experience to Precision: The Role of Artificial Intelligence and Robot-Assisted Surgery in Modern Precision Medicine.- Advanced Flexible Wearables for Next-Generation Digital Healthcare.- Wearable Ultrasound and Photoacoustic Imaging for Precision Medicine.- AI-Driven Monitoring of Biochemical Loading in Mild Traumatic Brain Injury.- Brain-Computer Interface: Exploring Alternative Solutions for Neurological Disorders.- The Transformative Role of Artificial Intelligence in Wearable Health Monitoring: Applications in Diagnosis, Therapy, and Rehabilitation.- Artificial Intelligence in Lung Diseases: Screening, Diagnosis, Treatment, and Prognosis.- Beyond Fertility: Pioneering AI-Enhanced Health Solutions with AMH and Inhibin B.- Digital Twin Models for Cancer.- Large Language Models in Precision Medicine: From Multimodal Integration to Autonomous Medical Agents.- Future Directions for Precision Medicine in the Age of AI.
