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Article

Machine learning model to predict oncologic outcomes for drugs in randomized clinical trials.

International journal of cancer - 1 Nov 2020

Schperberg Alexander V, Boichard Amélie, Tsigelny Igor F, Richard Stéphane B, Kurzrock Razelle

Abstract excerpt

Predicting oncologic outcome is challenging due to the diversity of cancer histologies and the complex network of underlying biological factors. In this study, we determine whether machine learning (ML) can extract meaningful associations between oncologic outcome and clinical trial, drug-related biomarker and molecular profile information. We analyzed therapeutic clinical trials corresponding to 1102 oncologic...

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PMID: 32745254
DOI: 10.1002/ijc.33240

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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