Discovering disease pathways using advanced molecular network analysis
Large-scale Disease Pathway Discovery by Integrating Tissue-specific Molecular Networks via Hierarchical Bayesian Inference on Graph Neural Networks
This study is looking at how proteins related to certain diseases work together in the body, using smart computer techniques to better understand these connections, which could help create more effective treatments for patients.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Rochester Institute of Technology NIH-funded |
| Lab location | 1 site (Rochester, United States) |
| Project ID | NIH-11011412 on NIH RePORTER |
What this research studies
This research investigates how different molecular components interact to reveal insights into diseases, particularly focusing on how proteins related to specific diseases form complex networks. By utilizing advanced techniques like graph neural networks, the study aims to identify and connect these molecular pathways that are often fragmented and tissue-specific. The approach combines deep learning with Bayesian analysis to enhance the understanding of disease mechanisms and their connections across various tissues, potentially leading to better-targeted therapies.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with specific cancers or cardiovascular diseases who are interested in understanding the molecular basis of their conditions.
Not a fit: Patients with diseases not related to the focus areas of this research, such as rare genetic disorders or non-cancerous conditions, may not receive direct benefits.
Why it matters
Potential benefit: If successful, this research could lead to more effective treatments by uncovering the underlying pathways of diseases, particularly cancers and cardiovascular disorders.
How similar studies have performed: Other research has shown promise in using graph neural networks for molecular pathway discovery, indicating that this approach could yield significant insights.
Where this research is happening
Rochester, United States
- Rochester Institute of Technology — Rochester, United States (Active)
Researchers
- Principal investigator: Li, Rui — Rochester Institute of Technology
- Study coordinator: Li, Rui
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.