• Explore /
  • Poster
  • / Peripheral lipidomics analyses with ensemble machine learning predict response to neoadjuvant therapy in breast cancer.

Peripheral lipidomics analyses with ensemble machine learning predict response to neoadjuvant therapy in breast cancer.

Abstract Poster

Authors

null

Jiani Wang

Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

Jiani Wang , Fei Ma , Xiaoying Sun , Jinsong Wang , Fengzhu Guo , Binliang Liu , Wenna Wang , Qing Li , Binghe Xu

Sign-In to See More Abstracts, Journal Articles, Posters, Videos and Slides and to Bookmark Your Favorite Content.

Disclaimer

This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org

Poster Details

Meeting

2022 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Breast Cancer—Local/Regional/Adjuvant

Track

Breast Cancer

Sub Track

Neoadjuvant Therapy

Citation

J Clin Oncol 40, 2022 (suppl 16; abstr 582)

DOI

10.1200/JCO.2022.40.16_suppl.582

Abstract #

582

Poster Bd #

353

Abstract Disclosures

Similar Posters

First Author: Nour Abuhadra

First Author: John R. Pfeiffer

First Author: Raju Kumar Vaddepally

First Author: Fanny Le Du