Developing advanced computer models to predict health outcomes.
Official title: Computational Modeling Core
Funded at Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center · NIH-11091667 · Data updated 2026-11-12
This study is looking at how blood infections from a fungus called Candida albicans work, using advanced computer models to better understand them, so that patients can receive more personalized and effective treatments.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center NIH-funded |
| Lab location | 1 site (Torrance, United States) |
| Project start | August 10, 2023 |
| Project end | May 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $224,570 |
| NIH project number | 5U19AI172713-03 |
| Project ID | NIH-11091667 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals experiencing bloodstream infections, particularly those caused by Candida albicans.
✕Less likely to help
Patients with infections not related to Candida albicans or those who do not have bloodstream infections may not benefit from this research.
What this research studies
This research focuses on creating sophisticated computational models that analyze and predict physiological processes related to blood infections, particularly those caused by Candida albicans. By integrating various types of biological data and using machine learning techniques, the project aims to enhance our understanding of how these infections develop and respond to treatments. Patients may benefit from improved predictive tools that can lead to more effective treatment strategies tailored to individual needs.
Why it matters
Potential benefit: If successful, this research could lead to more accurate predictions of infection outcomes and personalized treatment plans for patients.
How similar studies have gone: Previous research has shown promise in using computational modeling for predicting health outcomes, indicating that this approach could be effective.
Where this research is happening
-
Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
Torrance, United States Active
Researchers
- Principal investigator: Meyer, Aaron Samuel — Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
- Study coordinator: Meyer, Aaron Samuel
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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.