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Quantitative AI yields algorithmic RNA biomarkers from a rheumatoid arthritis clinical trial, accurately predicting individual patient responses to anti-TNF treatment, providing a novel approach to companion diagnostic discovery.   

2026-02-14

Abstract excerpt

<h4>Background: </h4> The derivation of novel biomarkers from biomedical data to accurately predict individual patient’s responses, would be an advance. We hypothesized that quantitative AI designed to analyze complex data, based on evolutionary computation, could identify algorithmic biomarkers from baseline data in a clinical trial, predictive of individual therapeutic responses. Methods A previously published r...

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Literature Corpus work
1bbab4ae-dd22-5899-8d29-48ae9146697a
DOI
10.12688/f1000research.164015.2
Open publication

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Quantitative AI yields algorithmic RNA biomarkers from a rheumatoid arthritis clinical trial, accurately predicting individual patient responses to anti-TNF treatment, providing a novel approach to companion diagnostic discovery.DOI 10.12688/f1000research.164015.2
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