Creating a platform to better manage and analyze biomedical data for immune-related diseases
Official title: SBIR 136 - INFOTECH: Integrated Knowledge Spaces for Infectious and Immune-mediated Disease Research
Funded at Infotech Soft, INC. · NIH-11214908 · Data updated 2026-11-12
This study is working on a new way to organize and understand medical data about infections and immune-related diseases, making it easier for researchers to share and use information to help improve treatments and care.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Infotech Soft, INC. NIH-funded |
| Lab location | 1 site (Miami, United States) |
| Project start | September 5, 2024 |
| Project end | September 4, 2025 |
| Funding year | 2024 |
| Award (this year) | $298,988 |
| NIH project number | 75N93024C00033-0-9999-1 |
| Project ID | NIH-11214908 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 may benefit from improved data-driven insights into their conditions.
✕Less likely to help
Patients with conditions unrelated to infectious or immune-mediated diseases may not receive direct benefits from this research.
What this research studies
This research aims to develop Integrated Knowledge Spaces that enhance the management and analysis of biomedical data related to infectious and immune-mediated diseases. By leveraging biomedical ontologies, the project will create semantic models that represent existing data sets in a more accessible way. This will allow researchers to integrate and aggregate data from various sources, facilitating more efficient scientific workflows. The project will focus on user-centered design, knowledge modeling, semantic enrichment, and the creation of knowledge graphs to improve data usability.
Why it matters
Potential benefit: If successful, this research could significantly streamline the process of analyzing biomedical data, leading to faster and more effective treatments for immune-related diseases.
How similar studies have gone: Other research has shown success in utilizing big data approaches and semantic technologies to enhance biomedical research, indicating a promising direction for this project.
Where this research is happening
-
Infotech Soft, INC.
Miami, United States Active
Researchers
- Principal investigator: Sabatino, Samantha — Infotech Soft, INC.
- Study coordinator: Sabatino, Samantha
Related research
Other NIH-funded projects on the same topics.
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Using deep learning to improve clinical decision support for patient monitoring
This study is testing a new online tool that helps doctors keep a close eye on patients' health and quickly spot any problems, especially for those in intermediate care units, to help prevent serious issues like sepsis and improve patient outcomes.
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.