Health
New tool to predict breast cancer recurrences – News-Medical.Net
A new tool combining traditional pathology with machine learning could predict which breast cancer patients actually need surgery.
A new tool combining traditional pathology with machine learning could predict which breast cancer patients actually need surgery. The technology, reported in the November issue of American Journal of Physiology — Cell Physiology (vol. 319: C910-C921; https:/
/
doi.
org/
10.
1152/
ajpcell.
00280.
2020), could spare women from unnecessary treatments, reduce medical expenses, and lead to a new generation of drugs to stop breast cancer recurrences.
Ductal carcinoma in situ (DCIS) of the breast, an…
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