MIT researchers were able to classify 40% of tumors, helping to ‘predict survival and optimal treatments’
For a small percentage of cancer patients, doctors are unable to determine where in the body the disease originated.
“We demonstrated that CUP tumors share genetic and prognostic characteristics with their predicted cancer types and may benefit from currently existing treatments guided by OnoNPC predictions.” AI can be used to improve scans for cancer and researchers hope to use it to find cancer at the source.“Though it still performed reasonably well for other ethnicities, a more thorough investigation is required to ensure that the model is benefiting a diverse patient population.”were considered for classifying tumors — which means if a tumor belongs to an unlisted type, predictions could be less certain.
Looking ahead, the researchers hope to integrate unstructured data like pathology images and clinical notes, enabling the AI to achieve a more holistic understanding of tumors. When it comes to using this approach in the real world, Dai said that how physicians integrate and use such models in their daily practice is a critical factor.
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