AI and Data Science in Medical Research
- 1st Edition - May 11, 2026
- Latest edition
- Editor: Olfa Boubaker
- Language: English
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 imagin… Read more
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Description
Description
The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research.
Key features
Key features
- Emphasizes the integration of AI and data science into medical research, showcasing their influence on drug discovery, medical imaging, diagnostics, and genomic medicine
- Explores how AI accelerates therapeutic compound discovery and optimizes drug development pipelines, leading to advancements in medical imaging for early disease detection and neuroimaging
- Covers AI's application in genomic medicine, providing insights into personalized treatment strategies, and a discussion on AI's contribution to public health surveillance, focusing on disease detection and epidemiological research
Readership
Readership
Table of contents
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
Product details
Product details
- Edition: 1
- Latest edition
- Published: May 11, 2026
- Language: English
About the editor
About the editor
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Olfa Boubaker
Olfa Boubaker is a Full Professor at the National Institute of Applied Sciences and Technology (INSAT) at the University of Carthage, Tunisia. Her research spans control theory, nonlinear systems, and robotics, with a focus on healthcare applications and human-centered technologies. She received her PhD in Electrical Engineering from the National Engineering School of Tunis (ENIT) and Habilitation Universitaire degree in Control Engineering from the National Engineering School of Sfax (ENIS), in Tunisia. Professor Boubaker leads interdisciplinary research projects at the interface of medicine and technology and serves as Series Editor of Medical Robots and Devices: New Developments and Advances. She has authored over 150 peer-reviewed papers and several books, and is an Associate Editor for Robotica and the International Journal of Advanced Robotic Systems. She also contributes to various scientific journals and mentors numerous engineering graduates.