MSPH, PhD
Assistant Professor, Radiology
Co-investigator, Carolina Mammography Registry
UNC-Chapel Hill
Cancer Epidemiology
Area of Interest
Sarah Nyante, MSPH, PhD, is a cancer epidemiologist focused on identifying biologic factors that predict breast cancer risk and/or prognosis. She conducts studies related to breast composition and breast imaging findings, and has an interest in developing efficient methods to re-purpose clinical data for research.
She is an active member of the American Association for Cancer Research (AACR) and the Society for Epidemiologic Research (SER). She is a member of the UNC Lineberger Cancer Outcomes Research Program.
News and Stories
![San Antonio Breast Cancer Symposium.](https://unclineberger.org/wp-content/uploads/sites/867/2023/12/SABCS-2023-feature-600x400.jpg)
Cancer center researchers to present latest findings at international breast cancer meeting
The San Antonio Breast Cancer Symposium features presentations outlining basic, translational, clinical and community-based study findings focused on advancing the prevention, diagnosis and treatment of breast cancer.
![](https://unclineberger.org/wp-content/uploads/sites/867/2022/09/Scientific_Retreat_2022_041-1-600x400.jpg)
Scientific retreat brings together cancer center community, offers insights across research fields
The UNC Lineberger annual scientific retreat featured faculty talks covering a range of basic, clinical/translational and population science research, as well as a poster session.
![Headshot of Sarah Nyante](https://unclineberger.org/wp-content/uploads/sites/867/2022/06/Sarah-Nyante-feature-600x400.jpg)
Study finds that accurate diagnostic mammography outcomes vary by racial and ethnic groups
A study by Sarah J. Nyante, PhD, MSPH, and colleagues found that the rate of diagnostic accuracy is highest in non‐Hispanic white women and lowest in Hispanic women.
![Charles M. Perou, Melissa Troester, and Heather D. Couture](https://unclineberger.org/wp-content/uploads/sites/867/2018/11/peroutro-ester-couture-600x400.jpg)
Scientists train a computer to classify breast cancer tumors
Using technology similar to the type that powers facial recognition on a smartphone, Charles M. Perou, PhD, Melissa Troester, PhD, and Heather D. Couture have trained a computer to analyze breast cancer images and then classify the tumors with high accuracy.