Identifying different types of complex health conditions using electronic health records
Official title: Subtyping complex phenotypes via constrastive learning by leveraging electronic health records
Funded at University of California Los Angeles · NIH-10799083 · Data updated 2026-11-12
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 start | September 22, 2023 |
| Project end | August 31, 2025 |
| Funding year | 2023 |
| Award (this year) | $428,448 |
| NIH project number | 1R21HG013393-01 |
| Project ID | NIH-10799083 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals diagnosed with asthma, diabetes, hypertension, or mental health disorders who are seeking more tailored treatment options.
✕Less likely to help
Patients with well-defined, non-complex health conditions may not benefit from this research.
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.
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 gone: 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
-
University of California Los Angeles
Los Angeles, United States Active
Researchers
- Principal investigator: Rahmani, Elior — University of California Los Angeles
- Study coordinator: Rahmani, Elior
Related research
Other NIH-funded projects on the same topics.
-
Understanding how genetic changes in blood cells relate to heart disease in people with HIV
A study will look at how age-related blood cell mutations and large chromosomal changes might contribute to heart disease risk in people living with HIV.
-
Systems genetics of vascular smooth muscle phenotypes in heart disease
Aims to understand how genetic differences influence vascular smooth muscle cells to improve prevention and treatment of coronary artery disease.
-
Motivation for Alcohol Use in Humans and How It Can Be Measured
This grant explores how people are motivated to drink alcohol and tests a safe, controlled way to study that motivation to inform better treatments for alcohol use disorder.
-
Overcoming CAR T cell resistance with tumor-targeted IL-12 to boost anti-tumor immunity
Aims to make CAR T cell therapy work better for solid tumors by using tumor-focused IL-12 to boost the body’s attack on cancer.
-
PediCODE: A Biorepository and Consortium for CoDE - Congenital Diarrhea and Enteropathy
A nationwide effort to collect clinical data and patient-derived samples to uncover the genetic causes of congenital diarrhea and enteropathy and to build a resource that helps researchers study these diseases.
-
Mentor Moms+: a community-led plan to cut alcohol use and HIV risk during pregnancy in South Africa
A community-based program adapts a trusted peer-led model to help pregnant and lactating people reduce alcohol use and HIV risk in South Africa.
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.