Computational Modeling Core for multi-omics and infection research
Official title: Computational Modeling Core
Funded at Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center · NIH-11350987 · Data updated 2026-11-12
A core center uses advanced computer methods to analyze and predict how infections like Candida albicans behave, by combining data from different biological layers and studies.
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 | 2026 |
| Award (this year) | $276,614 |
| NIH project number | 5U19AI172713-04 |
| Project ID | NIH-11350987 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients with Candida albicans infections or related conditions could benefit from improved understanding and prediction of disease progression.
✕Less likely to help
Some patients may not directly benefit if they are outside the scope of the specific infection areas studied or if findings do not translate to immediate clinical practice.
What this research studies
This grant funds a Computational & Predictive Modeling Core that provides advanced machine learning and data integration to help interpret results from multiple projects. The core develops new modeling approaches to predict how physiological processes unfold across different biological scales. It also aligns existing analysis methods and collaborates closely with other investigators to apply results to human infection research, especially by linking molecular data, cohort studies, and experimental models with human data.
Why it matters
Potential benefit: If successful, the core could enable better predictions of infection outcomes and guide personalized treatment strategies.
How similar studies have gone: Previous similar modeling efforts have shown promise in integrating multi-omic data to predict infection outcomes.
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
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.