Using systems biology to predict disease progression and treatment response in lung infections caused by Mycobacterium avium.
Official title: Systems biology to predict progression and treatment response in M avium complex pulmonary disease
Funded at Mayo Clinic Rochester · NIH-10814499 · Data updated 2026-11-12
This study is looking for better ways to predict how Mycobacterium avium pulmonary disease (MAC-PD) will progress and how well antibiotics will work for different patients, so they can find out who might get better without antibiotics and who might need a different treatment.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Mayo Clinic Rochester NIH-funded |
| Lab location | 1 site (Rochester, United States) |
| Project start | July 11, 2024 |
| Project end | June 30, 2029 |
| Funding year | 2024 |
| Award (this year) | $743,210 |
| NIH project number | 1R01AI172838-01A1 |
| Project ID | NIH-10814499 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients diagnosed with Mycobacterium avium pulmonary disease who are undergoing or considering antibiotic treatment.
✕Less likely to help
Patients with other types of pulmonary diseases or those who do not have Mycobacterium avium pulmonary disease may not benefit from this research.
What this research studies
This research investigates how to better predict the progression of Mycobacterium avium pulmonary disease (MAC-PD) and the effectiveness of antibiotic treatments. By combining clinical, immunological, and pharmacological data, researchers will use machine learning and computational simulations to develop risk scores for patients. These scores will help identify which patients may improve without antibiotics and which may face treatment failure with antibiotics. This approach aims to optimize patient management and reduce unnecessary treatments.
Why it matters
Potential benefit: If successful, this research could lead to more personalized treatment plans for patients with MAC-PD, improving outcomes and minimizing unnecessary antibiotic use.
How similar studies have gone: Other research has shown promise in using machine learning and computational models to predict treatment outcomes in various diseases, suggesting that this approach could be effective for MAC-PD as well.
Where this research is happening
-
Mayo Clinic Rochester
Rochester, United States Active
Researchers
- Principal investigator: Escalante, Patricio — Mayo Clinic Rochester
- Study coordinator: Escalante, Patricio
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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.