Article

SCOPE: Integrating Organoid Screening and Clinical Variables Through Machine Learning for Cancer Trial Outcome Prediction

2026-04-11

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Predicting whether a treatment will demonstrate meaningful clinical benefit before committing to a large-scale trial remains a major unmet need in oncology. Patient-derived organoids (PDOs) recapitulate individual tumor drug sensitivity, but have not been used to fore-cast population-level trial outcomes. We developed SCOPE (Screening-to-Clinical Outcome Prediction Engine),...

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Literature Corpus work: b6b4ffe3-0d62-5d9c-8ffe-ab99da2e8a34
DOI: 10.64898/2026.04.10.26350512

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