Leveraging Big Data to Improve Women’s Health (BD-WH) at KU
Official title: Leveraging Big Data to Improve Women's Health (BD-WH)
Funded at University of Kansas Lawrence · NIH-11372860 · Data updated 2026-11-12
A big-data grant from NIH aims to help women’s health by using data science to understand and prevent chronic diseases that affect women and the general population.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Kansas Lawrence NIH-funded |
| Lab location | 1 site (Lawrence, United States) |
| Project start | April 15, 2024 |
| Project end | February 28, 2029 |
| Funding year | 2026 |
| Award (this year) | $2,466,567 |
| NIH project number | 5P20GM152280-03 |
| Project ID | NIH-11372860 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients with ovarian cancer, neurodegenerative disease concerns related to myelin repair, menopause-related health risks, or chronic conditions influenced by health behaviors and access to care.
✕Less likely to help
Individuals not connected to the studied conditions or populations outside the focus on chronic disease, inflammation, or women's health may see limited direct benefit.
What this research studies
This NIH-funded center at the University of Kansas will bring together experts from lab and social sciences to use large health datasets to improve detection and treatment of chronic diseases linked to inflammation and mental health, with a special focus on conditions affecting women. The effort includes projects on ovarian cancer, myelin repair in neurodegenerative diseases, and factors that influence health risks during the menopause transition. Two projects will study how health behaviors and access to care shape chronic disease and mental health in various geographic and rural settings for both men and women. The center will provide mentoring, grant-writing support, faculty expansion, and professional development to accelerate productive, translational research at the data-health interface.
Why it matters
Potential benefit: If successful, the initiative could lead to earlier detection and better management of major conditions affecting women, with insights that can improve health outcomes nationwide.
How similar studies have gone: Prior data-science approaches in health have shown promise in identifying risk factors and guiding personalized care, though this center aims to integrate behavioral and health-services data for broader impact.
Where this research is happening
-
University of Kansas Lawrence
Lawrence, United States Active
Researchers
- Principal investigator: Desaire, Heather R — University of Kansas Lawrence
- Study coordinator: Desaire, Heather R
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.