Understanding and Improving Sepsis Care
Sepsis online: learning while doing to understand biology and treatment
This project uses advanced computer programs to better understand different types of sepsis and find the best treatments for each patient.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pittsburgh at Pittsburgh NIH-funded |
| Lab location | 1 site (Pittsburgh, United States) |
| Project ID | NIH-11090550 on NIH RePORTER |
What this research studies
More than a million Americans get sepsis each year, and many don't survive. This project aims to move beyond a "one-size-fits-all" approach by using artificial intelligence to look at patient health records and blood samples. Researchers want to identify specific types of sepsis, called endotypes, which respond differently to treatments. By learning from millions of patient encounters, the goal is to develop personalized treatment plans that can be used by doctors in real-time. This approach could lead to more effective and tailored care for individuals with sepsis.
Who could benefit from this research
Good fit: Patients hospitalized with sepsis who are part of a large integrated health system would be the focus of this research.
Not a fit: Patients not experiencing sepsis or those outside the specific healthcare system where this technology is implemented may not directly benefit from this particular project.
Why it matters
Potential benefit: If successful, this work could lead to more personalized and effective treatments for sepsis, potentially saving lives and improving patient recovery.
How similar studies have performed: Previous work by this team successfully identified and reproduced different types of sepsis in thousands of patients, providing a strong foundation for this advanced research.
Where this research is happening
Pittsburgh, United States
- University of Pittsburgh at Pittsburgh — Pittsburgh, United States (Active)
Researchers
- Principal investigator: Seymour, Christopher Warren — University of Pittsburgh at Pittsburgh
- Study coordinator: Seymour, Christopher Warren
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.