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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.

Pr. Olfa Boubaker is a full professor at the National Institute of Applied Sciences and Technology (INSAT) at the University of Carthage, Tunisia, where she specializes in control theory, nonlinear systems, and robotics. She holds a Ph.D. in Electrical Engineering from the National Engineering School of Tunis and a Habilitation Universitaire in Control Engineering from the National Engineering School of Sfax. Prof. Boubaker is the series editor of the book series Medical Robots and Devices: New Developments and Advances."

Introduction to AI and Data Science in Medical Research

Part 1. Drug Discovery and Development
1. Drug Discovery and Development: Leveraging AI and data science to accelerate the discovery of novel therapeutic compounds and optimize drug development pipelines
2. Artificial Intelligence and Data Science in Drug Discovery and Development
3. Leveraging AI and Data Science to accelerate the discovery of novel therapeutic compounds and optimize drug development pipelines

Part 2. Medical Imaging and Diagnostics
4. Advancements in Medical Imaging: Harnessing AI for Early Disease Detection and Diagnosis
5. Artificial Intelligence in Neuroimaging: from data acquisition to data analysis

Part 3. Genomic Medicine
6. Comprehensive Review of Distributed Deep Learning Approaches for Genomics Analysis
7. Revolutionizing Genomic Medicine with AI and Data Analytics

Part 4. Public Health Surveillance
8. Dataset on the COVID-19 Pandemic Situation in Tunisia with application to SIR Model
9. Harnessing AI for Enhanced Public Health Surveillance: Revolutionizing Disease Detection and Epidemiological Research
10. Stochastic Forecasting Model: Spread of COVID-19 Virus as an Example
11. Impact of Environmental Reservoirs and Host Interactions on Mpox Transmission: A Deterministic Modeling Approach
12. Conclusion to AI and Data Science in Medical Research Topics

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