Thanks to machine learning algorithms, short pieces of DNA floating in the bloodstream of cancer patients can help doctors diagnose specific types of cancer and choose the most effective treatment for a patient. The new analysis technique, created by University of Wisconsin-Madison researchers and published recently in Annals of Oncology , is compatible with "liquid biopsy" testing equipment already approved in the United States and in use in cancer clinics. This could speed the new method's path to helping patients.

https://www.miragenews.com/blood-test-algorithm-simplifies-cancer-1058889/

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