Multimodal Tools to Diagnose and Predict Risk in Alcohol- and Metabolic-Related Liver Diseases
Official title: Multimodal Approach for Diagnosis and Prognosis of Metabolic and Alcohol-Associated Steatotic Liver Diseases
Funded at Mayo Clinic Rochester · NIH-11415005 · Data updated 2026-11-12
A Mayo Clinic-led study will use advanced computer analysis of multi-omics data and tissue images to improve diagnosis and prognosis for ALD, MASLD, and MetALD.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Mayo Clinic Rochester NIH-funded |
| Lab location | 1 site (Rochester, United States) |
| Project start | September 15, 2025 |
| Project end | August 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $202,176 |
| NIH project number | 5K08AA032553-02 |
| Project ID | NIH-11415005 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with suspected ALD, MASLD, or MetALD who undergo liver biopsy or have tissue samples available for analysis.
✕Less likely to help
Patients without suspected ALD, MASLD, or MetALD or those not undergoing biopsy may not directly benefit.
What this research studies
This project aims to combine multiple types of biological data and spatial tissue information to create new diagnostic and prognostic tools for alcohol-related and metabolic liver diseases. By applying machine learning to integrate omics data and liver biopsy images, the team hopes to identify disease-specific features that current histology misses. The work builds on preliminary algorithms that distinguish ALD from MASLD, map biopsy zones, and reveal gene signatures linked to MetALD severity. If successful, these tools could enable earlier, more precise treatment decisions and better risk stratification for patients. The study will be conducted at Mayo Clinic Rochester under the PI Chady Merooeh and spans 2025–2030.
Why it matters
Potential benefit: If successful, patients could receive faster and more accurate diagnoses and personalized prognostic information.
How similar studies have gone: Preliminary ML tools show high accuracy in differentiating ALD from MASLD and in mapping biopsy features, suggesting potential for translation.
Where this research is happening
-
Mayo Clinic Rochester
Rochester, United States Active
Researchers
- Principal investigator: Meroueh, Chady — Mayo Clinic Rochester
- Study coordinator: Meroueh, Chady
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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.