Developing mathematical methods to understand complex biological networks
Official title: DMS/NIGMS 2: Moment Kernel Machines for Decoding Complexity in Dynamic Biological Networks
Funded at Washington University · NIH-11043486 · Data updated 2026-11-12
This study is exploring new ways to understand how our body's internal clock affects sleep and behavior, which could help improve treatments for sleep disorders.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Washington University NIH-funded |
| Lab location | 1 site (Saint Louis, United States) |
| Project start | September 13, 2024 |
| Project end | July 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $415,134 |
| NIH project number | 1R01GM157609-01 |
| Project ID | NIH-11043486 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research include individuals experiencing sleep disorders or those interested in the effects of circadian rhythms on health.
✕Less likely to help
Patients with conditions unrelated to circadian rhythms or those not experiencing sleep-related issues may not receive benefit from this research.
What this research studies
This research focuses on creating advanced mathematical techniques to accurately model and control complex biological systems, particularly those related to circadian rhythms in the brain. By utilizing a method called moment kernel machines, the research aims to simplify the representation of dynamic networks, making it easier to analyze and interpret biological data. The project seeks to address key questions in circadian biology, such as how environmental cues influence sleep patterns and behavior. Patients may benefit from insights gained through this research that could lead to improved treatments for sleep disorders and related conditions.
Why it matters
Potential benefit: If successful, this research could lead to better understanding and management of sleep disorders and other conditions influenced by circadian rhythms.
How similar studies have gone: Previous research has shown promise in using mathematical modeling to understand biological systems, suggesting that this approach could yield valuable insights.
Where this research is happening
-
Washington University
Saint Louis, United States Active
Researchers
- Principal investigator: Li, Jr-Shin — Washington University
- Study coordinator: Li, Jr-Shin
Related research
Other NIH-funded projects on the same topics.
-
Using MRI to measure brain oxygen levels as an early sign of small vessel disease in the brain
This study is looking at how measuring oxygen levels in the brain with MRI can help spot early signs of small vessel disease, which is linked to memory problems and dementia, especially Alzheimer's, so if you're at risk due to age or high blood pressure, you might be able to participate in MRI scans to learn more about
-
Advanced Methods & Modeling for Better Patient Care
A funding opportunity focused on developing new modeling methods to improve health care for patients through better data use and analytics.
-
Advanced methods and modeling for health research at Washington University
A health research grant at Washington University funds new modeling methods to support future patient-focused studies.
-
Center for Research in Emerging Infectious Diseases: Epidemiology, Surveillance and Pathogenesis
A NIH program will study and monitor emerging viruses from the Midwest U.S. and three Asian sites to understand how they spread and affect people.
-
How Poverty and the Environment Affect Heart Disease in Haiti and Beyond
This grant studies how poverty-related factors like food insecurity, stress, and pollution contribute to heart disease and aims to follow a large group of adults to better understand and prevent the disease.
-
Wearable tech to track blood loss during childbirth
A wearable device monitors cardiovascular signals to detect postpartum hemorrhage early so clinicians can act quickly to protect mothers.
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.