Creating tools to prevent heart problems from certain medications
Development of End-To-End Clinical Decision Support Tools To Prevent Cardiotoxic Drug Response
This study is working on creating smart tools to help doctors spot patients who might be at risk for heart problems caused by certain medications, so they can keep you safe and improve your treatment.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Colorado Denver NIH-funded |
| Lab location | 1 site (Aurora, UNITED STATES) |
| Project ID | NIH-10790014 on NIH RePORTER |
What this research studies
This research focuses on developing automated clinical decision support tools to help healthcare providers identify patients at risk of drug-induced cardiac toxicity, specifically QT prolongation. By utilizing advanced deep-learning models and integrating electronic health records with genetic data, the project aims to predict which patients may experience harmful side effects from over one hundred medications. The tools will alert providers to potential risks, improving patient safety and treatment outcomes. The research also includes the establishment of a biobank to support clinical applications of the findings.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals who are prescribed medications known to cause QT prolongation and those with a family history of cardiac arrhythmias.
Not a fit: Patients who are not taking QT-prolonging medications or those without any risk factors for cardiac arrhythmias may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly reduce the incidence of serious heart complications caused by medications in at-risk patients.
How similar studies have performed: Other research has shown promise in using AI and machine learning to predict drug-related side effects, indicating that this approach has potential for success.
Where this research is happening
Aurora, UNITED STATES
- University of Colorado Denver — Aurora, United States (Active)
Researchers
- Principal investigator: Rosenberg, Michael a — University of Colorado Denver
- Study coordinator: Rosenberg, Michael 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 below.