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AI is trained to spot warning signs in blood tests

AI can spot patterns in the data from blood tests that can give an early warning of disease.

His team have been developed a testing technology which uses nanotubes - tiny tubes of carbon which are around 50,000 times smaller than the diameter of a human hair. A big challenge in using AI to develop blood tests for ovarian cancer research is that it is relatively rare, which limits the data for training algorithms. Over the last two years Dr Slavé Petrovski has developed an AI platform called Milton that, using biomarkers in the UK biobank data to identify 120 diseases with a success rate of over 90%.

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