A curated index of the top issues and topics most frequently cross-referenced within PubMed abstracts over the past three months.
- 1 Disease
- 2 Protein
- 3 Disease
- 4 Disease
- 5 Disease
- 6 Protein
- 7 Disease
- 8 Technology
- 9 Disease
- 10 Technology
- 11 Technology
- 12 Disease
- 13 Disease
- 14 Disease
- 15 Disease
- 16 Disease
- 17 Disease
- 18 Disease
- 19 Technology
- 20 Disease
- 21 Protein
- 22 Disease
- 23 Protein
- 24 Technology
- 25 Disease
- 26 Technology
- 27 Disease
- 28 Technology
- 29 Disease
- 30 Disease
- 31 Disease
- 32 Technology
- 33 Disease
- 34 Technology
- 35 Disease
- 36 Disease
- 37 Technology
- 38 Disease
- 39 Disease
- 40 Technology
- 41 Disease
- 42 Protein
- 43 Disease
- 44 Disease
- 45 Disease
- 46 Gene
- 47 Disease
- 48 Disease
- 49 Technology
- 50 Protein
A Living Knowledge Graph, Built from the Literature
This index is part of an ongoing effort to construct a continuously evolving biomedical knowledge base — inspired by Andrej Karpathy’s vision of an LLM Wiki: a structured, machine-readable encyclopedia that grows organically from primary scientific literature, powered by large language models.
Every day, the latest PubMed abstracts across seven research domains — Immunotherapy, Gene Editing, Genomics, Mitochondria, Longevity, AI & Biotech, and Drug Discovery — are automatically ingested, parsed by an LLM, and written into a PostgreSQL knowledge graph. Named entities (diseases, proteins, genes, drugs, and technologies) are extracted alongside their relationships, synonyms, and key facts, yielding a database that currently spans over 4,500 entries, 3,100 inter-entity relations, and 1,100+ source papers.
The number on the right is the inbound reference count — how many other wiki entries the LLM has linked to this entity through directed relations (targets, treats, inhibits, activates, etc.). Entities accumulating the most references mark the active frontiers of biomedical inquiry — areas of unresolved challenge, emerging consensus, or rapidly shifting clinical interest.