Article

Using Large Language Models to Assemble, Audit, and Prioritize the Therapeutic Landscape

2025-11-16

Abstract excerpt

We present an AI-assisted pipeline for disease-specific drug landscape analysis. Given a disease name, the system assembles a comprehensive, evidence-based view of therapeutic assets by integrating structured sources (such as ClinicalTrials.gov and ChEMBL) and unstructured sources (such as publications, press releases, and patents). Large language models are used in a constrained, auditable mode to normalize drug...

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Literature Corpus work: 6f8155ee-08dd-51cb-890b-1c6ba7b15a60
DOI: 10.1101/2025.11.14.688562

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