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Abstract P1-21-08: Application of machine learning to elucidate the biology predicting response in the I-SPY 2 neoadjuvant breast cancer trial

Year: 2020

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.sabcs19-p1-21-08

Authors: Rosalyn W. Sayaman, Denise M. Wolf, Christina Yau, Julie Wulfkuhle, Emanuel Petricoin, Lamorna Brown-Swigart, Smita M. Asare, Gillian L. Hirst, Laura Sit, Nicholas O'Grady, Diane Hedistian, Laura J. Esserman, Mark A. LaBarge, Laura J van 't Veer

Institutions: City Of Hope National Medical Center, University of California, San Francisco, George Mason University, Quantum Leap Healthcare Collaborative

Language: English

Topic: Breast Cancer Treatment Studies

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W3013200225

Cites:

Cited by: 4

Related to: 10