Machine Learning for Medical Applications Vol 1+2 Machine Learning for Medical Applications : Computational Drug Discovery, Bioimaging, Smart Biomaterials

Ranjith Rajamanickam

ISBN 10: 3111503186 / ISBN 13: 9783111503189

Published by De Gruyter, 2025

About this Item

Neuware - Machine Learning for Medical Applications - Volume I provides an in-depth look into the frontier of artificial intelligence in healthcare, bringing together contributions from leading researchers and innovators. This volume focuses on three critical areas: computational drug discovery, advanced bioimaging techniques, and the development of smart biomaterials for medical use. Readers will discover how machine learning is revolutionizing personalized medicine, improving diagnostic accuracy, and enabling the design of AI-driven biomedical sensors and therapeutic systems. With practical insights into algorithmic modeling, drug toxicity prediction, and materials screening, this book bridges the gap between data science and clinical applications. Ideal for professionals, academics, and students in biomedical engineering, computer science, and medical informatics, this book highlights the synergistic potential of machine learning and modern medicine in shaping the future of healthcare.

Seller Inventory # 9783111503189

Bibliographic Details

• Title: Machine Learning for Medical Applications Vol 1+2 Machine Learning for Medical Applications : Computational Drug Discovery, Bioimaging, Smart Biomaterials
• Publisher: De Gruyter
• Publication Date: 2025
• Language: English
• ISBN 10: 3111503186
• ISBN 13: 9783111503189
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 170H x 36D millimeters 240 millimeters width by 170 millimeters height by 36 millimeters depth
• Weight: 1291 grams

About this title

Synopsis

Machine Learning for Medical Applications – Volume I provides an in-depth look into the frontier of artificial intelligence in healthcare, bringing together contributions from leading researchers and innovators. This volume focuses on three critical areas: computational drug discovery, advanced bioimaging techniques, and the development of smart biomaterials for medical use. Readers will discover how machine learning is revolutionizing personalized medicine, improving diagnostic accuracy, and enabling the design of AI-driven biomedical sensors and therapeutic systems. With practical insights into algorithmic modeling, drug toxicity prediction, and materials screening, this book bridges the gap between data science and clinical applications. Ideal for professionals, academics, and students in biomedical engineering, computer science, and medical informatics, this book highlights the synergistic potential of machine learning and modern medicine in shaping the future of healthcare.

About the Author

R. Ranjith, Amit Sharma, R. Dhivya, India; J. Paulo Davim, Portugal.