ArticleAI magazine2022
A biomedical open knowledge network harnesses the power of AI to understand deep human biology.
Article in AI magazine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Enhancing the capabilities of large language models for API calls through knowledge graphs.Scientific reports · 2026Article
- Construction, Deployment, and Usage of the Human Reference Atlas Knowledge Graph.Scientific data · 2025Article
- Construction, Deployment, and Usage of the Human Reference Atlas Knowledge Graph for Linked Open Data.bioRxiv : the preprint server for biology · 2025Article
- Biomedical knowledge graph-optimized prompt generation for large language models.Bioinformatics (Oxford, England) · 2024Article
- Publication, funding, and experimental data in support of Human Reference Atlas construction and usage.Scientific data · 2024Article
- Inflammation in multiple sclerosis: consequences for remyelination and disease progression.Nature reviews. Neurology · 2023Review
- Specimen, biological structure, and spatial ontologies in support of a Human Reference Atlas.Scientific data · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors.
Funding
Abstract
Knowledge representation and reasoning (KR&R) has been successfully implemented in many fields to enable computers to solve complex problems with AI methods. However, its application to biomedicine has been lagging in part due to the daunting complexity of molecular and cellular pathways that govern human physiology and pathology. In this article we describe concrete uses of SPOKE, an open knowledge network that connects curated information from 37 specialized and human-curated databases into a single property graph, with 3 million nodes and 15 million edges to date. Applications discussed in this article include drug discovery, COVID-19 research and chronic disease diagnosis and management.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.