Using deep learning to improve vancomycin treatment monitoring
Official title: Deep Learning Based Pharmacokinetic Model for Vancomycin
Funded at Methodist Hospital Research Institute · NIH-10933564 · Data updated 2026-11-12
This study is looking to improve how doctors monitor the antibiotic vancomycin by using advanced technology to create personalized treatment plans, especially for patients dealing with tough infections like MRSA.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Methodist Hospital Research Institute NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project start | September 21, 2023 |
| Project end | July 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $470,454 |
| NIH project number | 5R01AI175699-02 |
| Project ID | NIH-10933564 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include patients receiving vancomycin treatment, especially those with MRSA infections.
✕Less likely to help
Patients who are not being treated with vancomycin or those with infections not caused by MRSA may not benefit from this research.
What this research studies
This research focuses on enhancing the monitoring of vancomycin, a commonly used antibiotic, through advanced deep learning techniques. By utilizing real-world electronic health records, the study aims to develop a more accurate pharmacokinetic model that can better predict drug concentrations in individual patients. The approach involves creating a deep-learning model that incorporates a wide range of patient-specific data, allowing for more personalized treatment plans. This could lead to improved management of vancomycin therapy, particularly for patients with infections caused by methicillin-resistant Staphylococcus aureus (MRSA).
Why it matters
Potential benefit: If successful, this research could lead to more effective and safer vancomycin treatments, reducing the risk of toxicity while ensuring the drug's efficacy.
How similar studies have gone: Other research has shown promise in using deep learning for pharmacokinetic modeling, indicating that this approach could be a significant advancement in the field.
Where this research is happening
-
Methodist Hospital Research Institute
Houston, United States Active
Researchers
- Principal investigator: Nigo, Masayuki — Methodist Hospital Research Institute
- Study coordinator: Nigo, Masayuki
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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.