Identifying different types of complex health conditions using electronic health records
Subtyping complex phenotypes via constrastive learning by leveraging electronic health records
This study is looking to find different types of health conditions like asthma, diabetes, and mental disorders by examining health records, so we can better understand how these conditions vary from person to person and improve treatments just for you.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Los Angeles NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project ID | NIH-10799083 on NIH RePORTER |
What this research studies
This research aims to uncover biologically and clinically relevant subtypes of various health conditions, such as asthma, diabetes, and mental disorders, by analyzing electronic health records. It employs a novel contrastive learning method to identify patterns of variation specific to these conditions, which may not be evident in standard analyses. By leveraging data from the All of Us database, the study seeks to enhance our understanding of disease heterogeneity and improve treatment approaches tailored to individual patients.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals diagnosed with asthma, diabetes, hypertension, or mental health disorders who are seeking more tailored treatment options.
Not a fit: Patients with well-defined, non-complex health conditions may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective treatment strategies for patients with complex health conditions.
How similar studies have performed: Previous research has shown promise in using electronic health records for identifying disease subtypes, but this approach using contrastive learning is relatively novel.
Where this research is happening
Los Angeles, United States
- University of California Los Angeles — Los Angeles, United States (Active)
Researchers
- Principal investigator: Rahmani, Elior — University of California Los Angeles
- Study coordinator: Rahmani, Elior
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.