New methods to discover how biological systems work using data
Data-driven and science-informed methods for the discovery of biomedical mechanisms and processes
['FUNDING_OTHER'] · UNIVERSITY OF COLORADO · NIH-11100840
This study is working on new computer methods to better understand how our bodies work by learning from biological data, which can be messy and unpredictable, and it aims to make it easier to discover important insights about health and disease.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF COLORADO (nih funded) |
| Locations | 1 site (Boulder, UNITED STATES) |
| Trial ID | NIH-11100840 on ClinicalTrials.gov |
What this research studies
This research focuses on developing innovative computational methods to analyze complex biological systems by learning from data. It aims to improve the understanding of biomedical processes by adapting existing data-driven techniques to handle the unique challenges posed by biological data, such as noise and variability. The approach involves generating and testing a vast number of hypotheses simultaneously, which could lead to significant advancements in how we model and predict biological behaviors. By utilizing advanced algorithms, the research seeks to make these discoveries more efficient and interpretable.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with conditions that involve complex biological processes, where traditional modeling approaches have been insufficient.
Not a fit: Patients with straightforward or well-understood conditions may not benefit from this research, as it focuses on complex systems that require advanced modeling techniques.
Why it matters
Potential benefit: If successful, this research could lead to breakthroughs in understanding and treating various biomedical conditions by providing deeper insights into biological mechanisms.
How similar studies have performed: Other research has shown success with similar data-driven approaches in fields like climate and robotics, but applying these methods to biomedical data is relatively novel.
Where this research is happening
Boulder, UNITED STATES
- UNIVERSITY OF COLORADO — Boulder, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: BORTZ, DAVID — UNIVERSITY OF COLORADO
- Study coordinator: BORTZ, DAVID
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.