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  • / A deep learning approach utilizing clinical and molecular data for identifying prognostic biomarkers in patients treated with immune checkpoint inhibitors: An ORIEN pan-cancer study.

A deep learning approach utilizing clinical and molecular data for identifying prognostic biomarkers in patients treated with immune checkpoint inhibitors: An ORIEN pan-cancer study.

Abstract Poster

Authors

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Payman Ghasemi Saghand

H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL

Payman Ghasemi Saghand , Issam El Naqa , Aik Choon Tan , Mengyu Xie , Donghai Dai , James Lin Chen , Aakrosh Ratan , Martin McCarter , John D. Carpten , Harsh Shah , Alexandra Ikeguchi , Abhishek Tripathi , Igor Puzanov , Susanne M. Arnold , Michelle L. Churchman , Patrick Hwu , Jose Conejo-Garcia , William S. Dalton , George J. Weiner , Ahmad A. Tarhini

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Poster Details

Meeting

2022 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 40, 2022 (suppl 16; abstr 2619)

DOI

10.1200/JCO.2022.40.16_suppl.2619

Abstract #

2619

Poster Bd #

274

Abstract Disclosures

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