An AI platform to organize and integrate environmental health data
Official title: BioBricks-Env: AI driven, open-source, modular, composable platform to organize, store, retrieve, extract, and integrate environmental health & risk related data
Funded at Insilica, LLC · NIH-10819103 · Data updated 2026-11-12
This study is creating a user-friendly online tool that uses smart technology to help researchers easily find and organize important information about environmental health and safety, making it quicker and cheaper to test products like cosmetics and everyday items for safety.
Quick facts
| Grant type | Sbir 1 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Insilica, LLC NIH-funded |
| Lab location | 1 site (Bethesda, UNITED STATES) |
| Project start | January 17, 2024 |
| Project end | December 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $295,662 |
| NIH project number | 1R43ES036069-01 |
| Project ID | NIH-10819103 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals involved in product development or safety assessments in industries such as cosmetics, agrochemicals, and consumer goods.
✕Less likely to help
Patients who are not engaged in product development or do not work in industries related to environmental health may not benefit from this research.
What this research studies
This research aims to develop an open-source platform that utilizes artificial intelligence to streamline the organization, storage, and retrieval of environmental health and risk-related data. By creating modular components known as 'bricks', researchers can easily access and integrate diverse data sources, enhancing the efficiency of risk assessments and product safety evaluations. The platform will leverage advanced computational tools and public knowledgebases to support faster and more cost-effective toxicology testing, particularly in industries like cosmetics and consumer goods.
Why it matters
Potential benefit: If successful, this research could significantly improve the safety and efficacy of products by enabling quicker access to vital environmental health data.
How similar studies have gone: Other research has shown success in utilizing AI and open-source platforms for data integration, indicating a promising approach in this area.
Where this research is happening
-
Insilica, LLC
Bethesda, United States Active
Researchers
- Principal investigator: Luechtefeld, Thomas — Insilica, LLC
- Study coordinator: Luechtefeld, Thomas
Related research
Other NIH-funded projects on the same topics.
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srvc-EHSR: Smart, reusable ML-powered reviews for environmental and health data
A software platform helps researchers quickly create and run customized reviews of environmental and health data using machine learning, saving time and money for researchers and regulators.
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A platform to improve environmental and health-related risk assessments using machine learning.
This study is creating an easy-to-use online tool that helps researchers quickly and accurately check the safety of environmental chemicals, making their work faster and less expensive.
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.