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 OverviewPart I: Foundations and Core Technologies1. Medical Data Foundations: Key Concepts and Definitions for Clinicians and Researchers2. Artificial Intelligence in Medical Research: Fundamental Methods, Techniques, and Clinical ApplicationsPart II: AI-Driven Diagnosis and Patient Monitoring3. Artificial Intelligence in Neuroimaging: from data acquisition to data analysis4. Synthetic Data for Melanoma Detection: Generative Adversarial Networks and Diffusion Models in Practice5. Voice-Based Deep Learning for Parkinson’s Disease Diagnosis6. Modeling Mpox Transmission Dynamics: Deterministic Approaches Linking Environment and Host InteractionsPart III: Therapeutics, Genomics, and Ethical Perspectives7. AI for Drug Discovery and Development8. Revolutionizing Genomic Medicine with AI and Data Analytics9. AI-Powered Pipelines for Therapeutic Innovation10. Conclusions and Future Directions: Challenges, Opportunities, and Ethical Considerations in AI-Driven Medical 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 OverviewPart I: Foundations and Core Technologies1. Medical Data Foundations: Key Concepts and Definitions for Clinicians and Researchers2. Artificial Intelligence in Medical Research: Fundamental Methods, Techniques, and Clinical ApplicationsPart II: AI-Driven Diagnosis and Patient Monitoring3. Artificial Intelligence in Neuroimaging: from data acquisition to data analysis4. Synthetic Data for Melanoma Detection: Generative Adversarial Networks and Diffusion Models in Practice5. Voice-Based Deep Learning for Parkinson’s Disease Diagnosis6. Modeling Mpox Transmission Dynamics: Deterministic Approaches Linking Environment and Host InteractionsPart III: Therapeutics, Genomics, and Ethical Perspectives7. AI for Drug Discovery and Development8. Revolutionizing Genomic Medicine with AI and Data Analytics9. AI-Powered Pipelines for Therapeutic Innovation10. Conclusions and Future Directions: Challenges, Opportunities, and Ethical Considerations in AI-Driven Medical 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 OverviewPart I: Foundations and Core Technologies1. Medical Data Foundations: Key Concepts and Definitions for Clinicians and Researchers2. Artificial Intelligence in Medical Research: Fundamental Methods, Techniques, and Clinical ApplicationsPart II: AI-Driven Diagnosis and Patient Monitoring3. Artificial Intelligence in Neuroimaging: from data acquisition to data analysis4. Synthetic Data for Melanoma Detection: Generative Adversarial Networks and Diffusion Models in Practice5. Voice-Based Deep Learning for Parkinson’s Disease Diagnosis6. Modeling Mpox Transmission Dynamics: Deterministic Approaches Linking Environment and Host InteractionsPart III: Therapeutics, Genomics, and Ethical Perspectives7. AI for Drug Discovery and Development8. Revolutionizing Genomic Medicine with AI and Data Analytics9. AI-Powered Pipelines for Therapeutic Innovation10. Conclusions and Future Directions: Challenges, Opportunities, and Ethical Considerations in AI-Driven Medical Research