Improving drug discovery using advanced statistical methods
Official title: Use Bayesian methods to facilitate the data integration for complex clinical trials
Funded at Indiana University Indianapolis · NIH-10917170 · Data updated 2026-11-12
This study is working on new ways to analyze complex data from clinical trials to help speed up the process of discovering new drugs, making it easier to find treatments that are safer and more effective for patients like you.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Indiana University Indianapolis NIH-funded |
| Lab location | 1 site (Indianapolis, United States) |
| Project start | September 1, 2023 |
| Project end | August 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $320,247 |
| NIH project number | 5R01GM150808-02 |
| Project ID | NIH-10917170 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients participating in complex clinical trials who may benefit from personalized medicine approaches.
✕Less likely to help
Patients who are not involved in clinical trials or those with conditions not addressed by the drug discovery process may not receive any benefit from this research.
What this research studies
This research focuses on developing innovative Bayesian statistical methods to enhance the drug discovery process by effectively integrating complex clinical trial data. It aims to address the challenges posed by large and diverse health-related datasets, which include various outcomes such as toxicity, efficacy, and long-term survival. By creating models that can analyze and synthesize this data, the research seeks to improve hypothesis testing power and expedite the drug development timeline, ultimately benefiting patients through more personalized treatment options.
Why it matters
Potential benefit: If successful, this research could lead to faster and more effective drug development, resulting in better treatment options for patients.
How similar studies have gone: Other research has shown success with Bayesian methods in clinical trials, indicating a promising approach for this novel application.
Where this research is happening
-
Indiana University Indianapolis
Indianapolis, United States Active
Researchers
- Principal investigator: Zang, Yong — Indiana University Indianapolis
- Study coordinator: Zang, Yong
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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.