Overview
Marc D. Ryser conducts research in cancer early detection, with a particular focus on breast cancer overdiagnosis and overtreatment. Using a multi-scale approach, his group generates and analyzes biologic, clinical and population data using a variety of mathematical, statistical and computational tools. Dr. Ryser teaches an immersive research seminar for undergraduate students called “Math & Medicine.”
Website: https://sites.duke.edu/marcdryser/
Current Appointments & Affiliations
Adjunct Professor in the Department of Population Health Sciences
·
2025 - Present
Population Health Sciences,
Basic Science Departments
Associate Research Professor of Mathematics
·
2023 - Present
Mathematics,
Trinity College of Arts & Sciences
Recent Publications
Mapping the temporal landscape of breast cancer using epigenetic entropy.
Journal Article Commun Biol · October 16, 2025 Although generally unknown, the age of a newly diagnosed tumor encodes valuable etiologic and prognostic information. Here, we estimate the age of breast cancers, defined as the time from the start of growth to detection, using a measure of epigenetic entr ... Full text Link to item CiteImaging Changes and Outcomes of Patients Undergoing Active Monitoring for Ductal Carcinoma In Situ: Seven-Year Follow-up Study.
Journal Article Acad Radiol · July 2024 RATIONALE AND OBJECTIVES: To determine the imaging changes and their associated positive predictive value (PPV) for invasive breast cancer in women undergoing active monitoring for ductal carcinoma in situ (DCIS). MATERIALS AND METHODS: In this seven-year ... Full text Link to item CiteAbstract A038: Evaluating DCIS progression: A comparative analysis of CNA predictive power derived from lpWGS and WES data
Conference Cancer Research · February 1, 2024 AbstractDuctal carcinoma in situ (DCIS) is a very common non-life threatening, pre-invasive form of breast cancer constituting 25% of all new breast cancer diagnoses in the USA, and is normally treated with ... Full text CiteRecent Grants
Dynamic imaging and tissue biomarker models to delineate indolent from aggressive breast calcifications
ResearchSignificant Contributor · Awarded by National Cancer Institute · 2022 - 2027Duke ACS Institutional Research Grant
ResearchSignificant Contributor · Awarded by American Cancer Society, Inc. · 2024 - 2026Modeling and analytics for cancer diagnostics: traversing the data-evidence divide
ResearchPrincipal Investigator · Awarded by Fred Hutchinson Cancer Center · 2022 - 2025View All Grants
Education, Training & Certifications
McGill University (Canada) ·
2011
Ph.D.