AI and Data Science in Medical Research

Buch | Softcover

450 Seiten

2026
Academic Press Inc (Verlag)
978-0-443-27638-5 (ISBN)

Noch nicht erschienen (ca. Mai 2026)
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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.

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.

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

Erscheint lt. Verlag	1.5.2026
Reihe/Serie	Medical Robots and Devices: New Developments and Advances
Verlagsort	San Diego
Sprache	englisch
Maße	191 x 235 mm
Gewicht	450 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
	Technik ► Medizintechnik
ISBN-10	0-443-27638-2 / 0443276382
ISBN-13	978-0-443-27638-5 / 9780443276385
Zustand	Neuware