Identifying patient characteristics for Acute Respiratory Distress Syndrome and related conditions
Official title: The Intermountain West-Atlantic Center (InterACT) for the APS Phenotyping Consortium
Funded at Ihc Health Services, INC. · NIH-11086692 · Data updated 2026-11-12
This study is looking to better understand patients with serious lung conditions like ARDS, pneumonia, and sepsis by using advanced technology to create detailed profiles that show how they respond to treatments, which will help develop new therapies that are more effective for each individual.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ihc Health Services, INC. NIH-funded |
| Lab location | 1 site (Murray, UNITED STATES) |
| Project start | May 1, 2023 |
| Project end | April 30, 2029 |
| Funding year | 2025 |
| Award (this year) | $605,111 |
| NIH project number | 5U01HL168416-03 |
| Project ID | NIH-11086692 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include adults diagnosed with Acute Respiratory Distress Syndrome, pneumonia, or sepsis.
✕Less likely to help
Patients with chronic respiratory conditions or those not diagnosed with ARDS, pneumonia, or sepsis may not benefit from this research.
What this research studies
This research focuses on understanding and classifying patients with Acute Respiratory Distress Syndrome (ARDS), pneumonia, and sepsis using advanced statistical and machine learning techniques. By analyzing clinical data and biological markers, the project aims to create detailed patient profiles that reflect their unique treatment responses and disease characteristics. These profiles will help in designing future clinical trials that test new therapies tailored to specific patient needs, ultimately improving treatment outcomes for those affected by these serious conditions.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective treatments for patients suffering from ARDS and related conditions.
How similar studies have gone: Previous research has shown promise in using machine learning and biomarker analysis to improve patient phenotyping, indicating that this approach has potential for success.
Where this research is happening
-
Ihc Health Services, INC.
Murray, United States Active
Researchers
- Principal investigator: Brown, Samuel Morris — Ihc Health Services, INC.
- Study coordinator: Brown, Samuel Morris
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.