A novel AI-based tool deployed via a federated learning platform to assist in the screening, diagnosis, prevention and therapy evaluation of breast and prostate cancer (CAFEIN2)

The unmet clinical need raised by IARC (the International Agency for Research on Cancer of WHO): developing data-driven algorithms based on medical data, diet, nutrition, lifestyle and environmental factors, and the incidence on breast and prostate cancers, which could be used by clinicians to guide the establishment of cancer screening protocols.

Anonymised data and clinical expertise will be provided by established clinical entities like IARC, Hospital of Athens, Hospital of Brno and Policlinico Gemelli, while the level of involvement of Politecnico Milano is to be clarified. While external competition is high, the CAFEIN federated learning model has already generated quite some interest: the potential market impact will depend on the capability of attracting even more interest.