Pancreatic cancer is one of the deadliest cancers, and doctors still struggle to predict how the disease will progress in individual patients. This thesis shows that artificial intelligence can analyze digital pathology slides of pancreatic tumors and extract measurable features linked to survival. These analyses are faster and more consistent than manual scoring alone. The results suggest that AI can support pathologists by turning routine tissue slides into a richer source of prognostic information. In the long term, this may help clinicians make better informed treatment decisions for patients with pancreatic cancer.
Pierpaolo Vendittelli (1993) was born in Cassino, Italy. He studied computer science and medical imaging in Italy, France, and Spain. In 2021 he started his PhD at Radboud university medical center, where he developed AI methods for digital pathology in pancreatic cancer. Since 2025 he has worked as a postdoctoral researcher at the Prinses Maxima Centre.