New methods for analyzing large biomedical data sets
Novel Statistical Inference for Biomedical Big Data
This study is working on new ways to understand complex medical data, like images from scans and health records, to find better treatments and understand diseases, making it easier for doctors to help patients like you.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Washington NIH-funded |
| Lab location | 1 site (Seattle, United States) |
| Project ID | NIH-10701041 on NIH RePORTER |
What this research studies
This research focuses on creating advanced statistical methods to analyze large and complex biomedical data, including information from various medical imaging technologies and electronic health records. By improving how we assess uncertainty and significance in this data, the project aims to uncover new disease mechanisms and enhance treatment development. The team will leverage their expertise in multi-omics data analysis to tackle the challenges posed by high-dimensional models, which often have more variables than subjects. This innovative approach could lead to better integration of diverse biomedical data sources.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with complex health conditions that could benefit from insights derived from large biomedical data sets.
Not a fit: Patients with straightforward health issues that do not require advanced data analysis may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate disease understanding and improved treatment strategies for patients.
How similar studies have performed: Other research has shown promise in using advanced statistical methods for analyzing biomedical data, indicating that this approach could yield significant advancements.
Where this research is happening
Seattle, United States
- University of Washington — Seattle, United States (Active)
Researchers
- Principal investigator: Shojaie, Ali — University of Washington
- Study coordinator: Shojaie, Ali
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.