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…
-
Noosa News12 hours agoPolice officer who tracked Toyah Cordingley’s phone gives evidence at Rajwinder Singh’s murder trial
-
General12 hours agoARIA Awards 2025 winners: Amyl & The Sniffers and Ninajirachi dominate
-
Noosa News20 hours agoChild, 15, arrested over death of another child, 8, after shocking e-bike crash in Queensland
-
Noosa News19 hours agoDeath of German shepherd Arnie prompts Brisbane community action to protect pets caught up in crime