HIGHLIGHTS
- who: October et al. from the King Abdullah University of Science and Technology, Saudi Arabia have published the research: Predicting clinical response to everolimus in ER+ breast cancers using machine-learning, in the Journal: (JOURNAL)
- what: Using this approach, the authors develop and validate a predictive model of everolimus response and demonstrate its potential application in identifying candidates for mTOR inhibitor treatment. This trial reported clinical response as a change in Ki67 staining percentage at the end of 11-14 days of treatment, with patients showing more than a 10% decrease in Ki67 staining classified . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.