Knowledge Graph-Driven AI in Biohealth
Chuming Chen, Manju Anandakrishnan, Cathy H. Wu · 2026
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Description
Chuming Chen and two co-authors presented a framework in 2026 for knowledge graph AI in biohealth. Knowledge graphs link facts as networks of things and relationships, unlike tables that treat each data point alone. Life science data now pour in from genes, health records, and public health systems. The authors set out how to build such graphs, teach computers their patterns, and use them to predict new links.
Two cases show the range. One network on proteins helped predict which enzymes tag which sites, at top accuracy, aiding drug discovery. The other, built from synthetic veteran health data, fed a model that found hidden, multi-part patterns in suicide risk. The paper closes with advice for Delaware's health innovation scene.
Catalog record
| CREATOR | Chuming Chen, Manju Anandakrishnan, Cathy H. Wu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 22 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |