Deep Learning Models for Dissolution Dynamics of Amorphous Formulations in Patient-Specific Gastrointestinal Geometry
Imperial College London
Department of Chemical Engineering
Project description. Current tools for predicting oral drug performance, such as the TIM-1 system and computational fluid dynamics (CFD) models, provide valuable insight under controlled in vitro conditions but cannot capture variability in gastric geometry and motility across patients. Read more
Supervisors: Dr NB Basha, Prof O Matar
31 July 2026
PhD Research Project
Funded PhD Project (Students Worldwide)