> The initial phase of Linked Discoveries™ is an experimental pilot resource developed by the National Library of Medicine (NLM) that helps users explore how articles with PubMed® abstracts connect to the surrounding literature. Linked Discoveries creates neighborhoods of related articles, highlights shared conditions, genes, and chemicals across the neighborhood, and surfaces context like NIH funding, citation relationships, retractions, and reviews.
> Linked Discoveries uses data from PubMed, along with related condition, gene, and chemical data linked from other NLM databases like Gene, MedGen, and PubChem®.
So it does clique / principal components / flow analysis of the citation graph? Or GraphRAG and clustering?
OTOH, probably also useful: ChEMBL, UniProt, UpToDate, actual EHR charts, Folding@home, AlphaFold's db's, Co-Scientist that writes hypotheses, the LODcloud Linked Open Data Cloud
From https://linkeddiscoveries.ncbi.nlm.nih.gov/ :
> The initial phase of Linked Discoveries™ is an experimental pilot resource developed by the National Library of Medicine (NLM) that helps users explore how articles with PubMed® abstracts connect to the surrounding literature. Linked Discoveries creates neighborhoods of related articles, highlights shared conditions, genes, and chemicals across the neighborhood, and surfaces context like NIH funding, citation relationships, retractions, and reviews.
> Linked Discoveries uses data from PubMed, along with related condition, gene, and chemical data linked from other NLM databases like Gene, MedGen, and PubChem®.
So it does clique / principal components / flow analysis of the citation graph? Or GraphRAG and clustering?
OTOH, probably also useful: ChEMBL, UniProt, UpToDate, actual EHR charts, Folding@home, AlphaFold's db's, Co-Scientist that writes hypotheses, the LODcloud Linked Open Data Cloud
Re: cheminf: https://news.ycombinator.com/item?id=32894745
healthcare-ai GitHub topic: https://github.com/topics/healthcare-ai