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Marc Daniel Ryser

Associate Professor in Population Health Sciences
Population Health Sciences
Box 90320, Durham, NC 27708
215 Morris St, Suite 210, Durham, NC 27701

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

In the News


Published March 4, 2022
Study Estimates One in Seven U.S. Breast Cancers May Be Over-Diagnosed
Published February 28, 2022
How often is breast cancer overdiagnosed? New research finds true cases far outweigh false alarms
Published June 19, 2019
Overdiagnosis and the Future of Cancer Medicine

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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 Cite

Abstract 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 Cite

A 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 Cite
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Recent Grants


Dynamic imaging and tissue biomarker models to delineate indolent from aggressive breast calcifications

ResearchCo-Principal Investigator · Awarded by National Cancer Institute · 2022 - 2027

Duke ACS Institutional Research Grant

ResearchSignificant Contributor · Awarded by American Cancer Society, Inc. · 2024 - 2026

Modeling and analytics for cancer diagnostics: traversing the data-evidence divide

ResearchPrincipal Investigator · Awarded by Fred Hutchinson Cancer Center · 2022 - 2025

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Education, Training & Certifications


McGill University (Canada) · 2011 Ph.D.

External Links


Ryser group website