Our goal is to increase knowledge about pancreatic cancer, with special focus on precision diagnostics and medicine. We are interested in developing strategies for personalized prevention, risk stratification and early diagnosis, as well as individualized therapeutics and prognostics for pancreatic cancer. Our lab leverages integrative approaches of classical epidemiology, genetic epidemiology, molecular epidemiology, and machine learning using large-scale population-based cohorts, national registries, biobanks, and electronic healthcare records and clinical images. Through innovative application of various data sources armed with advanced analytical methodologies, we illustrate key contributors to the course of pancreatic cancer development and metastasis. The knowledge is transferred to more scientific research and development of screening programs and individualized treatments and surveillance. Our research holds great potential for improving earlier detection and survival of pancreatic cancer.
