Article
Using Machine-Learning Techniques to Identify Responders vs. Non-responders in Randomized Clinical Trials.
2020-11-23
Abstract excerpt
Despite the expectation of heterogeneity in therapy outcomes, especially for complex diseases like cancer, analyzing differential response to experimental therapies in a randomized clinical trial (RCT) setting is typically done by dividing patients into responders and non-responders, usually based on a single endpoint. Given the existence of biological and patho-physiological differences among metastatic colorecta...
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Identifiers and source
- Literature Corpus work
- e0ca5135-89e2-5227-9270-e81c70340d3e
- DOI
- 10.1101/2020.11.21.20232041
