Article

GENET: AI-Powered Interactive Visualization Workflows to Explore Biomedical Entity Networks

2025-12-16

Abstract excerpt

Formulating hypotheses about gene-disease associations requires logical inference from prior data, followed by a laborious literature review. AI models trained on curated datasets (e.g., GWAS Catalog) can suggest SNP–disease links, but validating these predictions still demands manual evidence extraction. To streamline this process, we present GENET (Genomic Evidence Network Exploration Tool), an AI-enhanced, end-...

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Literature Corpus work: dd829af2-b94b-58ce-b46b-6df58e80b057
DOI: 10.64898/2025.12.12.694029

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