Understanding and reducing harmful drug interactions in patients using multiple medications
A translational bioinformatics approach to elucidate and mitigate polypharmacy induced adverse drug reactions
This study is working to make it safer for people with opioid use disorder who take multiple medications by creating smart tools that can predict how different drugs might interact with each other based on each person's unique health information.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | State University of New York at Buffalo NIH-funded |
| Lab location | 1 site (Amherst, United States) |
| Project ID | NIH-10892075 on NIH RePORTER |
What this research studies
This research focuses on improving the safety of patients who are prescribed multiple medications, particularly those with opioid use disorder. It aims to develop advanced predictive tools that can identify potential adverse drug reactions (ADRs) by analyzing drug interactions and incorporating individual patient data. By leveraging bioinformatics, the project seeks to create personalized profiles that predict how different medications may affect patients based on their unique clinical backgrounds. This approach addresses the limitations of current software tools that often overlook critical biological and patient-specific information.
Who could benefit from this research
Good fit: Ideal candidates for this research include patients with opioid use disorder who are prescribed multiple medications.
Not a fit: Patients who are not on multiple medications or do not have opioid use disorder may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly enhance patient safety by reducing the risk of adverse drug reactions associated with polypharmacy.
How similar studies have performed: Previous research has shown promise in using bioinformatics to predict drug interactions, but this approach aims to advance the field by incorporating more comprehensive patient data.
Where this research is happening
Amherst, United States
- State University of New York at Buffalo — Amherst, United States (Active)
Researchers
- Principal investigator: Falls, Zackary Michael — State University of New York at Buffalo
- Study coordinator: Falls, Zackary Michael
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.