Sign in

Machine learning predicts rapid relapse of triple negative breast cancer

By Yipin Zhang and others at
LogoOhio State University
PurposeMetastatic relapse of triple-negative breast cancer (TNBC) within 2 years of diagnosis is associated with particularly aggressive disease and a distinct clinical course relative to TNBCs that relapse beyond 2 years. We hypothesized that rapid relapse TNBCs (rrTNBC; metastatic relapse or death <2 years) reflect unique genomic features relative to... Show more
May 18, 2021
=
0
Loading PDF…
Loading full text...
Similar articles
Loading recommendations...
=
0
x1
Machine learning predicts rapid relapse of triple negative breast cancer
Click on play to start listening