AI and Data Science in Medical Research
Series: Medical Robots and Devices: New Developments and Advances;
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Product details:
- Publisher Elsevier Science
- Date of Publication 1 May 2026
- ISBN 9780443276385
- Binding Paperback
- No. of pages450 pages
- Size 235x191 mm
- Weight 450 g
- Language English 700
Categories
Long description:
AI and Data Science in Medical Research focuses on the integration of AI and data science into medical research, highlighting their impact on drug discovery, medical imaging, diagnostics, and genomic medicine. The book addresses the acceleration of therapeutic compound discovery and optimization of drug development pipelines through AI. The volume also discusses advancements in medical imaging, including early disease detection and neuroimaging. Additionally, it covers the application of AI in genomic medicine, offering insights into personalized treatment strategies.
The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research.
Table of Contents:
AI and Data Science in Medical Research: An Overview
Part I: Foundations and Core Technologies
1. Medical Data Foundations: Key Concepts and Definitions for Clinicians and Researchers
2. Artificial Intelligence in Medical Research: Fundamental Methods, Techniques, and Clinical Applications
Part II: AI-Driven Diagnosis and Patient Monitoring
3. Artificial Intelligence in Neuroimaging: from data acquisition to data analysis
4. Synthetic Data for Melanoma Detection: Generative Adversarial Networks and Diffusion Models in Practice
5. Voice-Based Deep Learning for Parkinson’s Disease Diagnosis
6. Modeling Mpox Transmission Dynamics: Deterministic Approaches Linking Environment and Host Interactions
Part III: Therapeutics, Genomics, and Ethical Perspectives
7. AI for Drug Discovery and Development
8. Revolutionizing Genomic Medicine with AI and Data Analytics
9. AI-Powered Pipelines for Therapeutic Innovation
10. Conclusions and Future Directions: Challenges, Opportunities, and Ethical Considerations in AI-Driven Medical Research
