Using advanced data techniques to understand gene networks in heart disease
Official title: Transfer learning leveraging large-scale transcriptomics to map disrupted gene networks in cardiovascular disease
Funded at J. David Gladstone Institutes · NIH-10933409 · Data updated 2026-11-12
This study is looking at how genes work together in heart diseases to find better treatments, using advanced computer techniques and existing data from human tissues, so we can help people with heart problems in a more targeted way.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | J. David Gladstone Institutes NIH-funded |
| Lab location | 1 site (San Francisco, United States) |
| Project start | September 22, 2023 |
| Project end | July 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $472,500 |
| NIH project number | 5DP5OD036170-02 |
| Project ID | NIH-10933409 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals with cardiovascular diseases, particularly those with conditions that are difficult to treat due to limited data.
✕Less likely to help
Patients with non-cardiovascular conditions or those whose diseases are well understood and have established treatments may not benefit from this research.
What this research studies
This research investigates how to map the gene networks involved in cardiovascular diseases using large-scale transcriptomic data. By employing machine learning and advanced computational methods, the project aims to identify core mechanisms of heart disease, which could lead to more effective treatments. The approach includes leveraging existing data from human tissues and applying transfer learning techniques to enhance the understanding of gene interactions, even in cases where data is scarce. This innovative methodology could pave the way for targeted therapies that address the root causes of cardiovascular conditions rather than just alleviating symptoms.
Why it matters
Potential benefit: If successful, this research could lead to the development of targeted therapies that more effectively treat cardiovascular diseases.
How similar studies have gone: Other research has successfully utilized similar computational approaches in gene mapping, indicating a promising avenue for breakthroughs in understanding cardiovascular diseases.
Where this research is happening
-
J. David Gladstone Institutes
San Francisco, United States Active
Researchers
- Principal investigator: Theodoris, Christina Vicky — J. David Gladstone Institutes
- Study coordinator: Theodoris, Christina Vicky
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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.