Article

Interpreting Omics Data Analysis with Large Language Models for Disease Target and Drug Discovery

2026-05-05

Abstract excerpt

In biomedical scientific discovery, synthesizing prior knowledge from the literature is an essential component of interpreting numerical omics data analyses for disease target identification and drug discovery. Large language models (LLMs) alone can rapidly retrieve disease mechanisms from biomedical text, but text-only outputs are general and unreliable for target and drug prioritization without cohort-specific q...

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Literature Corpus work: df450de0-73df-5665-af42-412901c16ab1
DOI: 10.64898/2026.04.30.721768

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