Predicting Complex Diseases Using Health Records
PANDA-MSD: Predictive Analytics via Networked Distributed Algorithms for Multi-System Diseases
['FUNDING_U01'] · UNIVERSITY OF PENNSYLVANIA · NIH-11131237
This project creates new ways to use health records from many hospitals to help doctors diagnose complex diseases like psoriatic arthritis and GPA sooner.
Quick facts
| Phase | ['FUNDING_U01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF PENNSYLVANIA (nih funded) |
| Locations | 1 site (PHILADELPHIA, UNITED STATES) |
| Trial ID | NIH-11131237 on ClinicalTrials.gov |
What this research studies
We are building a smart computer system called PANDA to help doctors identify multi-system diseases more quickly. This system will securely combine information from electronic health records across many hospitals, overcoming challenges in sharing patient data while protecting privacy. Our goal is to create better prediction tools for conditions like granulomatosis with polyangiitis (GPA) and psoriatic arthritis (PsA), which often take a long time to diagnose. By improving early diagnosis, we hope to help patients start treatment sooner and potentially improve their health outcomes. This approach could eventually be used for many other complex diseases.
Who could benefit from this research
Good fit: This project uses existing health data, so it does not directly involve patient recruitment, but its findings could benefit individuals with multi-system diseases, particularly those with granulomatosis with polyangiitis or psoriatic arthritis.
Not a fit: Patients with conditions that are already easily and quickly diagnosed may not see a direct benefit from this specific diagnostic prediction tool.
Why it matters
Potential benefit: If successful, this work could significantly reduce the time it takes for patients with complex multi-system diseases to receive an accurate diagnosis, leading to earlier treatment.
How similar studies have performed: This project proposes novel methods for integrating electronic health records across multiple sites in a privacy-preserving way, addressing a current gap in predictive modeling for multi-system conditions.
Where this research is happening
PHILADELPHIA, UNITED STATES
- UNIVERSITY OF PENNSYLVANIA — PHILADELPHIA, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: CHEN, YONG — UNIVERSITY OF PENNSYLVANIA
- Study coordinator: CHEN, YONG
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.