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De Gruyter Machine Learning for Medical Applications - Volume 14

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Description

Machine Learning for Medical Applications - Volume I explores cutting-edge artificial intelligence applications in healthcare, featuring contributions from leading researchers across three critical domains: computational drug discovery, advanced bioimaging techniques, and smart biomaterials development. This comprehensive volume from De Gruyter reveals how machine learning is transforming personalised medicine, enhancing diagnostic accuracy, and enabling the creation of AI-driven biomedical sensors and therapeutic systems. Ideal for healthcare professionals, biomedical engineers, and AI researchers, this book provides practical insights and theoretical foundations for implementing machine learning solutions in medical contexts. Part of the Advanced Mechanical Engineering series, it bridges the gap between cutting-edge computational methods and real-world medical innovation, offering readers a thorough understanding of how artificial intelligence is reshaping modern healthcare delivery and drug development processes.

Key Features

De Gruyter's volume focuses on computational drug discovery applications using machine learning algorithms to accelerate pharmaceutical development and improve treatment outcomes.

Advanced bioimaging techniques are thoroughly examined, demonstrating how AI enhances medical image analysis and diagnostic precision across various imaging modalities.

Smart biomaterials development section explores AI-driven design of biocompatible materials for implants, drug delivery systems, and regenerative medicine applications.

Personalised medicine insights show how machine learning enables tailored treatment strategies based on individual patient data and genetic profiles.

Biomedical sensors and therapeutic systems chapters detail the integration of artificial intelligence into next-generation medical devices and monitoring technologies.

Advanced Mechanical Engineering series positioning ensures academic rigour and relevance for engineers and researchers developing medical technologies.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 September 2025
Listed Since
06 May 2025

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