AI based detection and progression-prediction of esophageal adenocarcinoma precursor lesions
Early diagnosis and treatment through AI enabled biomarker discovery
Michel received his both his BSc and MSc of Computing Science at the Radboud University, Nijmegen. He was part of the Diagnostic Image Analysis Group at the Radboud UMC to work on his MSc thesis. His research was part of the Radboud AI for Health lab and focused on compression fracture detection in CT scans of patients with osteoporosis. Currently Michel is working on a PhD project about AI-based detection and prediction of esophageal cancer, as part of the Gastrointestinal Lab, under supervison of Clarisa Sánchez. For his project he is working closely together with the pathology department of the Amsterdam UMC and the Amsterdam Machine Learning Lab.