Novel deep-learning approach for predicting and explaining the key prognostic factors for patients with Mesothelioma

Owkin publishes breakthrough research in Nature Medicine Owkin, which is developing machine learning technologies to advance medical research, today announces publication of a paper in Nature Medicine that showcases its breakthrough analysis of tumour biology using interpretable deep-learning models. The paper entitled ‘Deep learning-based classification of mesothelioma improves prediction of patient outcomes’ describes how Owkin

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Deep learning enables scientists to identify cancer cells in blood in milliseconds

Technique could allow cells to be extracted in real time, help prevent cancer from spreading Researchers at UCLA and NantWorks have developed an artificial intelligence-powered device that detects cancer cells in a few milliseconds — hundreds of times faster than previous methods. With that speed, the invention could make it possible to extract cancer cells from blood immediately after

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