#27 · Tools & infrastructure
Curated knowledge bases convert literature into queryable biomedical evidence
The dominant thread is converting curated or literature-derived evidence into structured, queryable resources. IEKB integrates curated inner-ear gene-phenotype associations, cochlear interactions and Bayesian candidate prioritisation into a scientific entity network. MTB-KB provides 75,170 literature-curated associations from 1,246 Mycobacterium tuberculosis publications, with a knowledge graph and search. A third item differs in method: an LLM pipeline screens each paper against a biomedical hypothesis for supporting and contradicting evidence, validated on BioNLI, to quantify consensus. What is new is explainability in IEKB's dark-gene support relations and hypothesis-level consensus quantification via LLM-assisted screening. All three are preprints, so coverage and performance claims remain provisional.
Preprints
IEKB: a comprehensive knowledge base for inner ear genetics integrating curated associations, cochlear interactions, Bayesian candidate prioritisation, explainable dark-gene support relations, and a scientific entity network
IEKB is an open inner-ear genetics knowledge base integrating curated gene-phenotype associations, cochlear interactions, Bayesian candidate prioritisation…
Quantifying Scientific Consensus in Biomedical Hypotheses via LLM-Assisted Literature Screening
LLM pipeline reviews each paper against a biomedical hypothesis to find supporting and contradicting evidence, validated on BioNLI.
MTB-KB: A Curated Knowledgebase of Mycobacterium tuberculosis Related Studies
MTB-KB is a literature-curated knowledgebase of 75,170 associations from 1,246 publications on Mycobacterium tuberculosis, with a knowledge graph and search…
Topic history
| Date | Rank |
|---|---|
| #27 | |
| #9 | |
| #10 | |
| #26 | |
| #18 | |
| #4 | |
| #4 | |
| #5 | |
| #15 | |
| #8 | |
| #27 | |
| #20 | |
| #27 | |
| #14 | |
| #34 | |
| #11 | |
| #26 | |
| #16 | |
| #35 | |
| #31 | |
| #27 | |
| #34 | |
| #4 | |
| #11 | |
| #7 | |
| #10 | |
| #2 | |
| #20 | |
| #32 | |
| #40 | |
| #30 | |
| #23 | |
| #28 | |
| #22 | |
| #31 | |
| #36 | |
| #36 | |
| #13 | |
| #8 | |
| #20 | |
| #11 | |
| #9 | |
| #34 | |
| #28 | |
| #32 | |
| #38 |