Developing mathematical methods to understand complex biological networks
DMS/NIGMS 2: Moment Kernel Machines for Decoding Complexity in Dynamic Biological Networks
['FUNDING_R01'] · WASHINGTON UNIVERSITY · NIH-11043486
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
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | WASHINGTON UNIVERSITY (nih funded) |
| Locations | 1 site (SAINT LOUIS, UNITED STATES) |
| Trial ID | NIH-11043486 on ClinicalTrials.gov |
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.
Who could benefit from this research
Good fit: 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.
Not a fit: Patients with conditions unrelated to circadian rhythms or those not experiencing sleep-related issues may not receive benefit from this research.
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 performed: 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
SAINT LOUIS, UNITED STATES
- WASHINGTON UNIVERSITY — SAINT LOUIS, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: LI, JR-SHIN — WASHINGTON UNIVERSITY
- Study coordinator: LI, JR-SHIN
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.