An AI platform to organize and integrate environmental health data
BioBricks-Env: AI driven, open-source, modular, composable platform to organize, store, retrieve, extract, and integrate environmental health & risk related data
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 ID | NIH-10819103 on NIH RePORTER |
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.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals involved in product development or safety assessments in industries such as cosmetics, agrochemicals, and consumer goods.
Not a fit: Patients who are not engaged in product development or do not work in industries related to environmental health may not benefit from this research.
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 performed: 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
Bethesda, UNITED STATES
- Insilica, LLC — Bethesda, United States (Active)
Researchers
- Principal investigator: Luechtefeld, Thomas — Insilica, LLC
- Study coordinator: Luechtefeld, Thomas
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 below.