AI can spot patterns in the data from blood tests that can give an early warning of disease.
This is the third feature in a six-part series that is looking at how AI is changing medical research and treatments.
But new blood tests are emerging that use the power of artificial intelligence to spot signs of the cancer in its very early stages. But that still left the question of interpreting the signal, which Dr Heller likens to finding a match for a fingerprint. These included blood from people with other forms of cancer, or other gynaecological disease that might be confused with ovarian cancer.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.
But he says the AI was able to get better accuracy than the best cancer biomarkers that are available today - and that was just the first try. “Before our test, a patient with pneumonia would have 15 to 20 different tests to identify their infection in just in their first week in hospital - that's about $20,000 in testing,” says Karius chief executive Alec Ford.
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