Personalized Kidney Support in Critical Illness (PACKS-ICU)
Official title: Personalized Assessment and Care of Kidney Support in Critically Ill Patients(PACKS-ICU)
Funded at Daecos LLC · NIH-11409014 · Data updated 2026-11-12
An AI-powered tool helps doctors predict who needs dialysis in the ICU to improve outcomes for people with acute kidney injury.
Quick facts
| Grant type | Sbir 1 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Daecos LLC NIH-funded |
| Lab location | 1 site (La Jolla, United States) |
| Project start | August 6, 2026 |
| Project end | July 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $314,364 |
| NIH project number | 1R43DK146600-01A1 |
| Project ID | NIH-11409014 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with acute kidney injury in the ICU who may require dialysis.
✕Less likely to help
If a patient does not have AKI or does not require dialysis, they are unlikely to benefit from this tool.
What this research studies
This project uses an AI-driven decision support system that plugs into electronic health records to forecast dialysis needs for critically ill patients with acute kidney injury. It builds on real-world data from thousands of ICU patients to identify patient subtypes and tailor dialysis decisions in real time. In Phase 1, the team will refine the algorithm with retrospective data from UC San Diego hospitals, connect the tool to the EPIC system via cloud services, and test its usability and validity without affecting patient care. The goal is to help clinicians make faster, more accurate decisions and potentially reduce unnecessary dialysis use and costs.
Why it matters
Potential benefit: If successful, patients could receive dialysis when truly needed, improving survival and reducing complications and hospital costs.
How similar studies have gone: Previous implementations of AI CDSS in ICUs have shown promise in decision support and outcome improvements, though results vary by setting.
Where this research is happening
-
Daecos LLC
La Jolla, United States Active
Researchers
- Principal investigator: Mehta, Ravindra L. — Daecos LLC
- Study coordinator: Mehta, Ravindra L.
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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.