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Immunotherapy Efficacy Prediction in Cancer: An Artificial Intelligence Approach with Unannotated H&E Whole-Slide Images

2024-02-07

Abstract excerpt

Developing a solution to predict clinical outcomes for immunotherapy that is accurate, scalable, affordable, clinically meaningful, and globally accessible is an unmet medical need. Precise prediction of patient response to immunotherapy from pretreatment biopsy images will enable the delivery of immuno-oncology drugs to suitable patients and reduce the risk of administering unnecessary toxicity to patients who do...

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Literature Corpus work
e4392f7c-b201-5b3b-9a75-6f72183f945b
DOI
10.1101/2024.02.05.24301493
Open publication

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Immunotherapy Efficacy Prediction in Cancer: An Artificial Intelligence Approach with Unannotated H&E Whole-Slide ImagesDOI 10.1101/2024.02.05.24301493
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