AI and Data Science in Medical Research
- 1st Edition - May 1, 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
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.
The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research.
- 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
Biomedical researchers and healthcare data scientists interested in applying AI and data science to drug discovery, medical imaging, genomic medicine, and public health surveillance
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
- Edition: 1
- Latest edition
- Published: May 1, 2026
- Language: English
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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.
Affiliations and expertise
Full Professor, National Institute of Applied Sciences and Technology (INSAT), University of Carthage, Tunisia