AI and Medical Imaging for Predicting Tumor Treatment Response
This PhD research explores the tumor microenvironment in hepatocellular carcinoma (HCC) and neuroendocrine tumors (NET) to understand response and resistance to PRRT and TARE therapies. By correlating cellular interactions observed in histopathology with imaging-derived biomarkers, the study aims to bridge micro-to-macro-scale tumor characterization. Through advanced analysis of MRI, MRE, PET, and CT, the goal is to transition from invasive biopsies to AI-driven, non-invasive prediction models, enabling better patient stratification and personalized treatment planning. This work is conducted within the OPERANDI project in collaboration with leading hospitals, including Bichat, Beaujon, and Nantes.