Using AI to improve understanding of disease metabolism
Official title: Advancing computational modeling of disease metabolism by integrating AI and systems biology
Funded at Oregon Health & Science University · NIH-10941152 · Data updated 2026-11-12
This study is exploring how we can use advanced computer models and artificial intelligence to better understand changes in metabolism related to diseases like cancer, diabetes, and heart problems, with the hope of finding new ways to diagnose and treat these conditions, and even offer personalized nutrition advice for patients.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Oregon Health & Science University NIH-funded |
| Lab location | 1 site (Portland, United States) |
| Project start | September 25, 2024 |
| Project end | August 31, 2029 |
| Funding year | 2024 |
| Award (this year) | $387,579 |
| NIH project number | 1R35GM155028-01 |
| Project ID | NIH-10941152 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals diagnosed with cancer, diabetes, cardiovascular diseases, or neurodegenerative disorders.
✕Less likely to help
Patients with metabolic disorders that are not well-characterized or do not fit within the targeted conditions may not receive benefit from this research.
What this research studies
This research focuses on how metabolic pathways, which are essential for cellular energy and function, can be better understood through advanced computational modeling that integrates artificial intelligence. By characterizing metabolic alterations in diseases like cancer, diabetes, and cardiovascular disorders, the project aims to identify new drug targets and biomarkers for early diagnosis and treatment. Patients may benefit from tailored nutritional recommendations and improved clinical diagnostics as a result of this work. The approach combines systems biology with AI to address the complexities of metabolic variations in disease environments.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and personalized treatment plans for patients with various metabolic disorders.
How similar studies have gone: Previous research has shown promise in using AI and computational modeling to enhance understanding of metabolic processes, indicating that this approach could yield significant advancements.
Where this research is happening
-
Oregon Health & Science University
Portland, United States Active
Researchers
- Principal investigator: Cao, Sha — Oregon Health & Science University
- Study coordinator: Cao, Sha
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.