Article

ALEX: Automatic Language Explanations for Interpreting Treatment Effects via Multi-Agents

2026-05-01

Abstract excerpt

Precision medicine requires understanding how general treatment effects from randomized clinical trials should be applied to individual patients. Machine learning methods have shown some promise for estimating patient-level treatment effects, however, their clinical utility remains limited because they often fail to explain why responses to a given treatment vary across individuals. Here we present ALEX, an explai...

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Literature Corpus work: 40452fbd-77cd-51a5-aa0b-c6465299aaf8
DOI: 10.64898/2026.04.23.26351510

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