Using advanced data analysis to improve understanding of complex diseases
Statistical and Machine Learning Methods to Address Biomedical Challenges for Integrating Multi-view Data (Supplement)
['FUNDING_OTHER'] · UNIVERSITY OF MINNESOTA · NIH-11100974
This study is all about using advanced technology to look at different types of biological data to better understand complex diseases, which could lead to better ways to diagnose and treat patients like you.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF MINNESOTA (nih funded) |
| Locations | 1 site (MINNEAPOLIS, UNITED STATES) |
| Trial ID | NIH-11100974 on ClinicalTrials.gov |
What this research studies
This research focuses on developing statistical and machine learning methods to analyze complex biological data from various sources, known as multiomic and multimodal data. By leveraging high-performance computing resources, the project aims to extract valuable insights that can enhance our understanding of the biological processes underlying complex diseases. Patients may benefit from improved diagnostic and treatment strategies as a result of this advanced data analysis. The research utilizes cutting-edge technology to handle large datasets efficiently, which is crucial for making meaningful discoveries in medicine.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with complex diseases that could benefit from advanced data analysis and personalized treatment approaches.
Not a fit: Patients with simple, well-understood conditions may not receive significant benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to breakthroughs in understanding and treating complex diseases, ultimately improving patient outcomes.
How similar studies have performed: Other research has shown success in using advanced data analysis techniques to improve understanding of complex diseases, indicating that this approach has potential for impactful results.
Where this research is happening
MINNEAPOLIS, UNITED STATES
- UNIVERSITY OF MINNESOTA — MINNEAPOLIS, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: SAFO, SANDRA E — UNIVERSITY OF MINNESOTA
- Study coordinator: SAFO, SANDRA E
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.