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Integrating virtual cell modeling with patient-derived transcriptomics to uncover target signals in rheumatoid arthritis

2026-04-22

Abstract excerpt

Rheumatoid arthritis affects millions of people worldwide, yet a substantial fraction of patients fail to achieve lasting benefit from current therapies. AI-based virtual cell models offer a promising route to simulate the effects of thousands of potential drug targets computationally, but whether their predictions genuinely reflect what happens in the disease-relevant cells of patients undergoing treatment has be...

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Identifiers and source

Literature Corpus work
56cdf870-fae8-5536-bdcc-63dec7527176
DOI
10.64898/2026.04.19.719532
Open publication

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Integrating virtual cell modeling with patient-derived transcriptomics to uncover target signals in rheumatoid arthritisDOI 10.64898/2026.04.19.719532
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