Grupo SENERThe Ramón y Cajal Hospital is committed to artificial intelligence for the early detection of familial cancer.
This research project will study, in collaboration with the Sener Foundation, 10,000 family trees, of 3 or more generations, and individual clinical data, which will help clinicians to predict the future development of diseases and better decision making.
The Ramón y Cajal University Hospital will develop an AI tool to predict cancer risk.
Madrid- The Ramón y Cajal University Hospital of the Community of Madrid, in collaboration with the Sener Foundation, is developing a tool based on Artificial Intelligence (AI) to identify hereditary cancer risk. This initiative will be implemented through the hospital’s Hereditary Cancer Unit, using anonymized data from 10,000 family trees, spanning three or more generations, along with individual clinical data.
These data include ages at diagnosis, tumor types and relevant benign pathologies.The tool will help clinicians predict future disease risk and improve decision making by providing a more accurate assessment of inherited genetic risk. This is a significant advance, as only one in ten people screened by conventional methods have genetic alterations.
Dr. Carmen Guillén Ponce, head of the Medical Oncology section and head of the Family Cancer Unit, emphasizes that AI will facilitate the selection of candidates for genetic studies, improving early cancer detection and follow-up. Daniel Martínez, head of the project at Sener, stresses the usefulness of analyzing family and clinical data together with AI to optimize the interpretation of genetic risk and the selection of candidates for genetic studies.
The project aims to provide excellent and humane healthcare, focused on the person and on prevention, research and innovation for the well-being of patients and their families.
