CORDIS Project
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This project focuses on leveraging artificial intelligence and deep learning to develop radiomic biomarkers that predict responses to immunotherapy in cancer patients. By analyzing non-invasive imaging data, it aims to improve patient selection for treatments, enhancing clinical outcomes in oncology.
Artificial Intelligence (AI), deep-learning in particular, is propelling the field of radiology forward at a rapid pace.
In oncology, AI can characterize the radiomic phenotype of the entire tumor and provide a non-invasive window into the internal growth patterns of a cancer lesion.
This is especially important for patients treated with immunotherapy as, despite the remarkable success of these novel therapies, the clinical benefit remains limited to a subset.
As immunotherapy is expensive and c…
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