Oxford University researchers have unveiled a new blood test, powered by machine learning, that shows promise in detecting multiple types of cancer in their earliest stages, when the disease is hardest to detect. The study showed that TriOx accurately detected cancer (including in its early stages) across six cancer types and reliably distinguished those people who had cancer from those that did not.
In this study, the researchers combined a cutting-edge DNA analysis technique called TAPS with machine learning, to analyze and combine multiple key features from the DNA circulating in the blood. This approach improves the detection of the small fraction of cancer DNA, making the test particularly sensitive for identifying cancer.
It demonstrated the ability to detect cancers (including early-stage cancers) and distinguish between people who had cancer and those that did not with 94.9% sensitivity and 88.8% specificity. This would ensure that patients without cancer are not subjected to unnecessary procedures, while those with cancer can receive treatment sooner.
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