Training a machine learning model to signal patients who develop metachronous metastases after primary breast cancer, resulting in a more complete cancer registry.

Predicting the development of cervical cancer based on individual screening histories. This allows for faster intervention for individuals with higher risk, while reducing the number of examinations for individuals with lower risk.

A system to allocate the monthly cost of mobile phone consumption in a medical centre.