Public Health and Health Professions
Hammarlund Lab
Led by Noah Hammarlund · Health Services Research, Management and Policy
What we study
The Hammarlund Lab uses advanced econometric methods and machine learning to study how AI can improve cancer care, focusing on prostate cancer. They collaborate with economists, computer scientists, and clinicians to develop healthcare solutions.
What working here is like
- Computational
- Coding required
- Papers
- 5
Recent papers, explained
- Real-world evaluation of a transformer-based natural language processing system for identifying social determinants of health from routine clinical documentation
2026 · JAMIA Open
Tests whether a computer program can accurately identify social health factors from medical notes by comparing its results to survey data.
- Racial and ethnic disparities in financial toxicity among cancer survivors: implications for equity in survivorship care
2025 · Journal of Cancer Survivorship
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- Evaluating the Economic Impact of Project ECHO Diabetes: Cost Savings From HbA1c Reduction in Type 1 and Type 2 Diabetes
2025 · Endocrine Practice
- Negative perceptions of the health system and racial inequities in PSA screening
2025 · Prostate Cancer and Prostatic Diseases
- Identifying predictors of stroke in young adults: a machine learning analysis of sex-specific risk factors
2024 · Frontiers in Stroke
Uses machine learning to find risk factors for stroke in young adults, comparing men and women.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Noah Hammarlund hasn't set up this page yet. Their UF Scholars profile lists their publications.