Understanding why some patients are more likely to experience heart rhythm problems from medications
Official title: Predicting determinants of susceptibility to drug-induced arrhythmias
Funded at Icahn School of Medicine at Mount Sinai · NIH-10987052 · Data updated 2026-11-12
This study is looking at how certain medications can cause irregular heartbeats and aims to find out which patients might be more likely to experience this side effect, using special heart cells and advanced technology to make safer medication choices for everyone.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Icahn School of Medicine at Mount Sinai NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | December 15, 2022 |
| Project end | November 30, 2026 |
| Funding year | 2025 |
| Award (this year) | $421,836 |
| NIH project number | 5R01HL167520-03 |
| Project ID | NIH-10987052 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals with existing heart conditions or those who are prescribed medications known to potentially cause arrhythmias.
✕Less likely to help
Patients who do not take medications that affect heart rhythm or who have no history of heart issues may not benefit from this research.
What this research studies
This research investigates the factors that contribute to drug-induced arrhythmias, which are irregular heartbeats that can occur as a side effect of certain medications. By combining laboratory experiments with advanced mathematical modeling and machine learning techniques, the study aims to identify which patients are most at risk for these adverse events based on their unique physiological characteristics. The research will utilize stem cell-derived heart cells to observe how different drugs affect heart cell behavior, ultimately leading to better predictions of drug safety for individual patients.
Why it matters
Potential benefit: If successful, this research could lead to safer medication prescribing practices by identifying patients at higher risk for drug-induced arrhythmias.
How similar studies have gone: Other research has shown promise in using mechanistic modeling and machine learning to predict drug safety, indicating that this approach could yield valuable insights.
Where this research is happening
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Icahn School of Medicine at Mount Sinai
New York, United States Active
Researchers
- Principal investigator: Sobie, Eric a — Icahn School of Medicine at Mount Sinai
- Study coordinator: Sobie, Eric a
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.