상세 보기
A NATALEE data-based machine learning (ML) model to predict distant recurrence (DR) and treatment (tx) effect in real-world (RW) patients (pts) with HR+/HER2-early breast cancer (EBC) without CDK4/6 inhibitor (CDK4/6i) tx
- Howard, F. M.;
- Fasching, P. A.;
- Santa-Maria, C. A.;
- Lim, E.;
- Sparano, J.;
- ... Park, Y. H.;
- 외 10명
Citations
WEB OF SCIENCE
0- 제목
- A NATALEE data-based machine learning (ML) model to predict distant recurrence (DR) and treatment (tx) effect in real-world (RW) patients (pts) with HR+/HER2-early breast cancer (EBC) without CDK4/6 inhibitor (CDK4/6i) tx
- 저자
- Howard, F. M.; Fasching, P. A.; Santa-Maria, C. A.; Lim, E.; Sparano, J.; Lustberg, M.; Bachelot, T.; Blyuss, O.; Brezden-Masley, C.; Park, Y. H.; Akdere, M.; Ye, F.; Pantoja, K.; Castro, P. Dominguez; Kurz, C.; Razavi, P.
- 발행일
- 2025-09
- 유형
- Meeting Abstract
- 권
- 36