Lecturer

Mohamed Thabit is a Pharmacology researcher specializing in the integration of Artificial Intelligence into personalized medicine. He is currently completing his PhD at Ege University, with defense anticipated in May–June 2026. His doctoral work pioneers AI application in Clinical Pharmacology at Ege University, developing a machine learning model integrating 50+ clinical parameters to optimize pharmacotherapy in heart failure. His research combines computational modeling with translational laboratory validation, including hydrogen sulfide (H₂S) bioassay analysis. His academic and research interests include vascular pharmacology, H₂S biology, erectile dysfunction, AI-driven predictive therapeutics, and experimental animal models. He is certified in laboratory animal research and actively advances interdisciplinary education by integrating computational methods into healthcare training. His long-term objective is to bridge pharmacology, artificial intelligence, and translational science to accelerate therapeutic innovation.