Prediction of cancer treatment response from histopathology images through imputed transcriptomics.

Authors

null

Danh-Tai Hoang

The Biological Data Science Institute, College of Science, The Australian National University, Canberra, Australia

Danh-Tai Hoang , Gal Dinstag , Leandro C. Hermida , Doreen Ben-Zvi , Chani Stossel , Tejas Patil , Stephen-John Sammut , Wiem Lassoued , Clint Allen , Tuvik Beker , Peng Jiang , Talia Golan , Adam G. Sowalsky , Sharon R Pine , Carlos Caldas , James L. Gulley , Kenneth D. Aldape , Ranit Aharonov , Eric Stone , Eytan Ruppin

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Poster Details

Meeting

2023 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Care Delivery and Regulatory Policy

Track

Care Delivery and Quality Care

Sub Track

Clinical Informatics/Advanced Algorithms/Machine Learning

Citation

J Clin Oncol 41, 2023 (suppl 16; abstr 1551)

DOI

10.1200/JCO.2023.41.16_suppl.1551

Abstract #

1551

Poster Bd #

145

Abstract Disclosures

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