Public Health and Health Professions
Kimmel Lab
Led by Stephen Kimmel · Epidemiology
What we study
The Kimmel Lab studies how to improve medical treatments by focusing on genetic factors, patient adherence, and surgical outcomes. They use data analysis and patient-centered research to enhance healthcare decisions.
What working here is like
- Clinical
- Human participants
- Coding helps
- Project
- 1
- Papers
- 4
Current projects
Novel methods of prediction of outcomes among patients
They develop ways to predict patient responses to surgical procedures and lung transplants.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Build fair machine learning models to predict adverse outcomes for heart failure patients with preserved ejection fraction and with reduced ejection fraction
2026 · JAMIA Open
Builds a fair computer model to predict bad outcomes for heart failure patients.
- Real‐World Adherence Trajectories of GLP ‐1 Receptor Agonists Among Adults and Paediatric Patients With Obesity
2026 · Diabetes Obesity and Metabolism
Looks at how people with obesity take GLP-1 drugs over a year, using health records.
Show 2 more papersShow fewer
- Comparative Efficacy of Pharmacological Interventions for Heart Failure with Reduced Ejection Fraction Between Asian and White Patients: A Meta-analysis of Randomized Controlled Trials
2025 · American Journal of Cardiovascular Drugs
- External Exposome Factors and Adverse Heart Failure Outcomes in the OneFlorida+ Network: Retrospective Cohort Study
2025 · JMIR Formative Research
Checks if social factors like poverty affect heart failure readmissions and deaths.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
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