Creating advanced tools to extract knowledge from medical literature for infectious and immune diseases
Official title: SBIR 136 - MY OWN MED: Development of automated LLM KG extraction to inform clinical research of infectious & immune mediated diseases
Funded at My Own Med, INC. · NIH-11214913 · Data updated 2026-11-12
This study is working on a smart computer system that helps researchers quickly find and understand important information from medical articles about infections and immune diseases, making it easier for them to use this knowledge in their work.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | My Own Med, INC. NIH-funded |
| Lab location | 1 site (Chevy Chase, United States) |
| Project start | September 5, 2024 |
| Project end | September 4, 2025 |
| Funding year | 2024 |
| Award (this year) | $275,942 |
| NIH project number | 75N93024C00036-0-9999-1 |
| Project ID | NIH-11214913 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals affected by infectious or immune-mediated diseases who are involved in or interested in clinical research.
✕Less likely to help
Patients with unrelated medical conditions or those not engaged in clinical research may not benefit from this research.
What this research studies
This research focuses on developing an automated system that utilizes advanced artificial intelligence, specifically large language models, to extract and represent knowledge from unstructured medical literature. By creating a Natural Language Processing (NLP) pipeline, the project aims to streamline the process of gathering relevant information for researchers studying infectious and immune-mediated diseases. The system will integrate various data sources, including clinical trial data and anonymized patient records, to enhance the understanding and application of biomedical research findings.
Why it matters
Potential benefit: If successful, this research could significantly improve the efficiency and accuracy of clinical research in infectious and immune-mediated diseases.
How similar studies have gone: Other research has shown success in using AI and knowledge extraction techniques in biomedical fields, indicating a promising approach for this project.
Where this research is happening
-
My Own Med, INC.
Chevy Chase, United States Active
Researchers
- Principal investigator: Seyfert-Margolis, Vicki — My Own Med, INC.
- Study coordinator: Seyfert-Margolis, Vicki
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.