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  • / Artificial intelligence-powered spatial analysis of tumor-infiltrating lymphocytes predicts survival after immune checkpoint inhibitor therapy across multiple cancer types.

Artificial intelligence-powered spatial analysis of tumor-infiltrating lymphocytes predicts survival after immune checkpoint inhibitor therapy across multiple cancer types.

Abstract Poster

Authors

null

Jeanne Shen

Department of Pathology, Stanford University School of Medicine, Stanford, CA

Jeanne Shen , Taebum Lee , Jun-Eul Hwang , Yoon-La Choi , Se-Hoon Lee , Hyojin Kim , Jin-haeng Chung , Stephanie Bogdan , Maggie Huang , Tyler Raclin , George A. Fisher Jr., Sergio Pereira , Seonwook Park , Minuk Ma , Donggeun Yoo , Seunghwan Shin , Kyunghyun Paeng , Chan-Young Ock , Tony S. K. Mok , Yung-Jue Bang

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Poster Details

Meeting

2021 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Developmental Therapeutics—Immunotherapy

Track

Developmental Therapeutics—Immunotherapy

Sub Track

Tissue-Based Biomarkers

Citation

J Clin Oncol 39, 2021 (suppl 15; abstr 2607)

DOI

10.1200/JCO.2021.39.15_suppl.2607

Abstract #

2607

Poster Bd #

Online Only

Abstract Disclosures

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