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Artificial intelligence (AI) based spatial assessment of tumor-infiltrating lymphocytes (TIL) and pathologic complete response in early HER2+ breast cancer (BC): Secondary analysis of NSABP B-41.

Year: 2025

Type: conference-abstract

Source: Journal of Clinical Oncology

DOI: 10.1200/jco.2025.43.16_suppl.551

Authors: Ilana Schlam, Gong Tang, Khalid AbdulJabbar, Brent T. Harris, Priya Rastogi, Tanner Freeman, Sai Kumar Maley, Haixi Yan, Isaac Hook, Norman Wolmark, Roberto Salgado, Sandra M. Swain

Institutions: Dana-Farber Cancer Institute, University of Pittsburgh, NRG Oncology, MedStar Georgetown University Hospital, UPMC Hillman Cancer Center, University of Pittsburgh Medical Center, NSABP Foundation, GZA Ziekenhuizen Campus Sint-Augustinus, GZA Ziekenhuizen, Georgetown University

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Breast Cancer Research Foundation

Award: G1574763389

OpenAlex ID: W4410808909

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