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Explainable machine learning identifies features and thresholds predictive of immunotherapy response

2025-03-25

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Immunotherapy has improved patient survival for multiple cancer types, including melanoma. While a variety of molecular features have been linked to response to immune checkpoint inhibitors (ICI) treatment, clinically established biomarkers, such as tumour mutation burden (TMB) and PD-L1 expression, have shown limitations in accurately categorising responders versus non-resp...

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Literature Corpus work
2e6e9ecd-bc18-5bcf-aea6-263ed68ce45b
DOI
10.1101/2025.03.23.643560
Open publication

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Explainable machine learning identifies features and thresholds predictive of immunotherapy responseDOI 10.1101/2025.03.23.643560
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