Jessica Xin Hjaltelin
This project aims to improve early detection of pancreatic cancer (PC) by exploring its link with diabetes, especially new-onset diabetes (NOD). PC is one of the most difficult cancers to diagnose early, resulting in one of the lowest 5-year relative survival rates at only 12%. Using artificial intelligence (AI) and data from Danish health registries, the project will develop models to predict PC by analysing patient histories, including hospital diagnoses, laboratory measurements, GP and hospital medications, and primary care visits. Early detection of PC is crucial since it significantly increases survival rates. By focusing on patients with NOD, who are at a higher risk of developing PC, the project seeks to identify subtle signs of the disease early on. This will involve creating AI models that can accurately pinpoint individuals at high risk. The project aims to make significant strides in early cancer detection through timely diagnosis and intervention.