Using deep learning to analyze treatment effectiveness for heart diseases
Deep Learning-based Emulation Analysis: Methodological Developments and Case Studies
This study is looking to find better ways to understand how different heart treatments work by using advanced computer techniques to analyze real patient data, which could help doctors make smarter choices for people with heart conditions.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project ID | NIH-10676303 on NIH RePORTER |
What this research studies
This research aims to improve how we evaluate the effectiveness of various treatments for cardiovascular diseases by utilizing advanced deep learning techniques. Instead of relying solely on traditional clinical trials, which can be difficult to conduct, the study will analyze large amounts of observational data from electronic medical records and insurance claims. By developing a new analysis pipeline, the researchers hope to provide more accurate insights into how different drugs and treatments impact patient survival outcomes. This approach could lead to better-informed treatment decisions for patients with heart conditions.
Who could benefit from this research
Good fit: Ideal candidates for this research are older adults suffering from cardiovascular diseases who are currently receiving or considering treatment options.
Not a fit: Patients with non-cardiovascular conditions or those who are not elderly may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective treatment strategies for patients with cardiovascular diseases, ultimately improving survival rates.
How similar studies have performed: Previous research has shown promise in using observational data and emulation techniques for analyzing treatment effectiveness, indicating that this approach could yield valuable insights.
Where this research is happening
New Haven, United States
- Yale University — New Haven, United States (Active)
Researchers
- Principal investigator: Ma, Shuangge — Yale University
- Study coordinator: Ma, Shuangge
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.