PhysioNet: A trusted, open data repository for clinical and physiological data
Official title: PhysioNet: A FAIR and sustainable data repository
Funded at Massachusetts Institute of Technology · NIH-11544234 · Data updated 2026-11-12
A publicly accessible platform provides curated clinical and physiological data and tools to help researchers develop and test AI models for better healthcare.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Massachusetts Institute of Technology NIH-funded |
| Lab location | 1 site (Cambridge, United States) |
| Project start | September 8, 2025 |
| Project end | June 30, 2030 |
| Funding year | 2026 |
| Award (this year) | $250,000 |
| NIH project number | 3U24EB037545-02S1 |
| Project ID | NIH-11544234 on NIH RePORTER |
Who could benefit from this research
✓Could help
Researchers and clinicians who need high-quality, de-identified clinical and physiological data to develop AI models.
✕Less likely to help
Direct patient care is not the primary aim of this grant, though downstream AI tools may influence care.
What this research studies
This grant supports expanding and sustaining PhysioNet, a popular open data repository with de-identified clinical and physiological datasets and analysis tools. The goal is to improve data quality, curation, and editorial review so researchers can reliably train and validate AI models for medical applications. The project will involve data management, community engagement, and enhancements to accommodate growing submissions and ensure high standards. By making rich datasets more accessible, patients could benefit from faster AI-driven insights and personalized care in the future.
Why it matters
Potential benefit: If successful, patients could benefit from more robust, transparent AI tools that use high-quality data to improve diagnosis, prognosis, and treatment decisions.
How similar studies have gone: Past activity shows widespread use and impact of PhysioNet data and tools, though the field continues to evolve with rapid growth.
Where this research is happening
-
Massachusetts Institute of Technology
Cambridge, United States Active
Researchers
- Principal investigator: Heldt, Thomas — Massachusetts Institute of Technology
- Study coordinator: Heldt, Thomas
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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.