AI and Data Science in Medical 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

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.