Using AI to understand human diseases through complex biological data
Official title: Development of data driven and AI empowered systems biology to study human diseases
Funded at Oregon Health & Science University · NIH-11173498 · Data updated 2026-11-12
This study is working on new ways to understand how different biological factors interact in diseases, using detailed data from your body, to help doctors predict how your condition might change and how you might respond to treatments, making care more personalized for you.
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 | August 15, 2023 |
| Project end | June 30, 2028 |
| Funding year | 2024 |
| Award (this year) | $388,370 |
| NIH project number | 7R35GM150971-02 |
| Project ID | NIH-11173498 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with complex diseases that could benefit from advanced biological modeling and data analysis.
✕Less likely to help
Patients with straightforward or well-characterized diseases may not receive significant benefits from this research.
What this research studies
This research focuses on developing advanced computational methods and systems biology models to analyze complex biological processes related to human diseases. By leveraging multi-omics data, which includes various biological information from tissues and cells, the project aims to uncover the dynamic interactions and dependencies that occur in disease states. Patients may benefit from improved understanding of their conditions through enhanced models that can predict disease progression and treatment responses. The research will utilize innovative techniques to analyze and interpret large datasets, ultimately aiming to provide more personalized and effective disease management strategies.
Why it matters
Potential benefit: If successful, this research could lead to more accurate models for understanding diseases, potentially improving treatment options and outcomes for patients.
How similar studies have gone: Other research has shown promise in using computational biology and multi-omics data to improve disease understanding, indicating that this approach has potential for success.
Where this research is happening
-
Oregon Health & Science University
Portland, United States Active
Researchers
- Principal investigator: Zhang, Chi — Oregon Health & Science University
- Study coordinator: Zhang, Chi
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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.