Using data science to find links between environmental factors and health outcomes
Data science tools to identify robust exposure-phenotype associations for precision medicine
This study is looking at how different things in our environment can impact our health, and it's designed to help people by finding better ways to understand and treat health issues based on individual needs.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Harvard Medical School NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project ID | NIH-11112692 on NIH RePORTER |
What this research studies
This research aims to utilize advanced data science techniques to uncover how various environmental exposures affect health outcomes in diverse populations. By analyzing large datasets, the project seeks to identify and prioritize the relationships between these exposures and different health conditions. The approach includes addressing challenges such as missing data and biases in observational studies, ultimately striving for more effective precision medicine tailored to individual needs.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals from diverse demographic backgrounds who may be affected by environmental factors impacting their health.
Not a fit: Patients who do not have any environmental exposures or those with conditions unrelated to the studied exposures may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more personalized healthcare strategies that consider environmental influences on health.
How similar studies have performed: Previous research has shown promise in using data science to identify health associations, indicating that this approach could yield valuable insights.
Where this research is happening
Boston, United States
- Harvard Medical School — Boston, United States (Active)
Researchers
- Principal investigator: Patel, Chirag J. — Harvard Medical School
- Study coordinator: Patel, Chirag J.
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.