Creating a real-time knowledge graph for biomedical research insights
Official title: SBIR 136 - OMNISYNC: A Real-Time Comprehensive Knowledge Graph for the Biomedical Science Community
Funded at Omnisync Incorporated · NIH-11214915 · Data updated 2026-11-12
This study is working on turning complicated medical research into easy-to-understand charts that help doctors and researchers find and use important information faster, so they can improve patient care and research results.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Omnisync Incorporated NIH-funded |
| Lab location | 1 site (San Diego, United States) |
| Project start | September 5, 2024 |
| Project end | September 4, 2025 |
| Funding year | 2024 |
| Award (this year) | $299,957 |
| NIH project number | 75N93024C00037-0-9999-1 |
| Project ID | NIH-11214915 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include biomedical researchers, healthcare professionals, and institutions looking to enhance their access to and understanding of scientific literature.
✕Less likely to help
Patients who are not involved in biomedical research or do not have a professional interest in scientific publications may not benefit from this research.
What this research studies
This research aims to transform complex biomedical findings from academic papers into structured Knowledge Graphs (KGs) that are easily accessible and usable. By utilizing advanced machine learning models, the project will dynamically enrich these KGs with the latest research insights, making it easier for researchers and healthcare professionals to leverage existing knowledge. The goal is to enhance the understanding and application of biomedical data, ultimately improving research efficiency and outcomes.
Why it matters
Potential benefit: If successful, this research could significantly improve how biomedical knowledge is accessed and utilized, leading to better-informed healthcare decisions.
How similar studies have gone: Other research initiatives have successfully utilized knowledge graphs to enhance data accessibility in various fields, indicating a promising potential for this approach in biomedical science.
Where this research is happening
-
Omnisync Incorporated
San Diego, United States Active
Researchers
- Principal investigator: Huang, Norman — Omnisync Incorporated
- Study coordinator: Huang, Norman
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.