Using advanced computer models to analyze tissue and genetics in complex diseases
Integrating high-throughput histology with systems genetics through causal graphical models
This study is working on a new way to use computer technology to look closely at tissue samples and genetic information, helping us understand how genes can affect health, which could lead to better care for patients with complex diseases.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Jackson Laboratory NIH-funded |
| Lab location | 1 site (Bar Harbor, United States) |
| Project ID | NIH-11004994 on NIH RePORTER |
What this research studies
This research aims to create a deep learning framework that combines detailed tissue analysis with genetic information to better understand complex diseases. By automating the quantification of tissue structure through advanced neural networks, the project seeks to identify how genetic variations influence health outcomes. This approach allows for more precise mapping of risk genes associated with diseases, potentially leading to improved public health strategies. Patients may benefit from insights gained about the genetic factors contributing to their conditions.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with complex diseases that may have a genetic component.
Not a fit: Patients with purely environmental or non-genetic conditions may not receive any benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate identification of genetic risks for diseases, improving prevention and treatment strategies.
How similar studies have performed: Other research has shown promise in using deep learning for tissue analysis, indicating that this approach could be effective.
Where this research is happening
Bar Harbor, United States
- Jackson Laboratory — Bar Harbor, United States (Active)
Researchers
- Principal investigator: Mahoney, John Matthew — Jackson Laboratory
- Study coordinator: Mahoney, John Matthew
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 below.