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
Associate Professor in Population Health Sciences
·
2023 - Present
Population Health Sciences,
Basic Science Departments
Associate Research Professor of Mathematics
·
2023 - Present
Mathematics,
Trinity College of Arts & Sciences
Member of the Duke Cancer Institute
·
2018 - Present
Duke Cancer Institute,
Institutes and Centers
Recent Publications
Imaging 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 CiteA Residual-Attention Multimodal Fusion Network (ResAMF-Net) for Detection and Classification of Breast Cancer
Conference Progress in Biomedical Optics and Imaging - Proceedings of SPIE · January 1, 2024 Digital breast tomosynthesis (DBT), synthetic mammography, and full-field digital mammography (FFDM) are commonly used medical imaging modalities for breast cancer screening. Due to the data complexity, most CAD research applies to only one modality, which ... Full text CiteRecent Grants
Dynamic imaging and tissue biomarker models to delineate indolent from aggressive breast calcifications
ResearchCo-Principal Investigator · 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.