Predicting tumor regrowth
In a world-first, the OCTAPUS-AI study, published in the Lancet’s EbioMedicine journal, compared different machine learning models to determine which could most accurately identify NSCLC patients at risk of recurrence following curative radiotherapy. -- LAncet article
Tools for machine learning are indicated in the methods section and the code for the predictive vectors will be deposited at https://github.com/orgs/cancer-imaging-group/dashboard