Marc D. Ryser, Associate Professor in Population Health Sciences

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/

Contact Info:

Office Location:	215 Morris St, Suite 210, Durham, NC 27701
Email Address:
Web Pages:	http://www.math.duke.edu/~ryser/ https://sites.duke.edu/marcdryser/

Teaching (Spring 2025):

• MATH 89S.01, FIRST-YEAR SEMINAR (TOP) Synopsis

  Physics 205, TuTh 08:30 AM-09:45 AM

Education:

Ph.D.	McGill University (Canada)	2011
MS (Physics)	EPFL	2006
BS (Physics)	EPFL	2004

Research Interests:

Please visit my personal site for information about me and my research

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Keywords:

Bone and Bones • Bone Neoplasms • Bone Resorption • Cancer • Chemotaxis • Computational Biology • Computer Simulation • Early Detection of Cancer • Fractures, Bone • Gene Expression Profiling • Homeostasis • Mathematical models • Meta-Analysis as Topic • Models, Biological • Osteoblasts • Osteoprotegerin • Parathyroid Hormone-Related Protein • RANK Ligand • Solubility • Statistics • Time Factors

Recent Publications   (More Publications)

1. Nguyen, DL; Shelley Hwang, E; Ryser, MD; Grimm, LJ, Imaging Changes and Outcomes of Patients Undergoing Active Monitoring for Ductal Carcinoma In Situ: Seven-Year Follow-up Study., Acad Radiol, vol. 31 no. 7 (July, 2024), pp. 2654-2662 [doi]  [abs]
2. Iyer, M; Mallo, D; Maley, CC; Fortunato, A; Cisneros, L; King, LM; Ryser, MD; Lo, JY; Hall, A; Marks, JR; Hwang, S, Abstract A038: Evaluating DCIS progression: A comparative analysis of CNA predictive power derived from lpWGS and WES data, Cancer Research, vol. 84 no. 3_Supplement_2 (February, 2024), pp. A038-A038, American Association for Cancer Research (AACR) [doi]  [abs]
3. Liu, X; Ren, Y; Ryser, M; Grimm, LJ; Lo, JY, A Residual-Attention Multimodal Fusion Network (ResAMF-Net) for Detection and Classification of Breast Cancer, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 12927 (January, 2024), ISBN 9781510671584 [doi]  [abs]
4. Schmitz, RSJM; van den Belt-Dusebout, AW; Clements, K; Ren, Y; Cresta, C; Timbres, J; Liu, Y-H; Byng, D; Lynch, T; Menegaz, BA; Collyar, D; Hyslop, T; Thomas, S; Love, JK; Schaapveld, M; Bhattacharjee, P; Ryser, MD; Sawyer, E; Hwang, ES; Thompson, A; Wesseling, J; Lips, EH; Schmidt, MK; Grand Challenge PRECISION consortium, Association of DCIS size and margin status with risk of developing breast cancer post-treatment: multinational, pooled cohort study., BMJ, vol. 383 (October, 2023), pp. e076022 [doi]  [abs]
5. Ryser, MD; Greenwald, MA; Sorribes, IC; King, LM; Hall, A; Geradts, J; Weaver, DL; Mallo, D; Holloway, S; Monyak, D; Gumbert, G; Vaez-Ghaemi, S; Wu, E; Murgas, K; Grimm, LJ; Maley, CC; Marks, JR; Shibata, D; Hwang, ES, Growth Dynamics of Ductal Carcinoma in Situ Recapitulate Normal Breast Development., bioRxiv (October, 2023) [doi]  [abs]

Recent Grant Support

• Dynamic imaging and tissue biomarker models to delineate indolent from aggressive breast calcifications, National Cancer Institute, 2022/09-2027/08.      
• Duke ACS Institutional Research Grant, American Cancer Society, Inc., 2024/01-2026/12.      
• Modeling and analytics for cancer diagnostics: traversing the data-evidence divide, Fred Hutchinson Cancer Center, 2022/09-2025/08.      
• Modeling and analytics for cancer diagnostics: traversing the data-evidence divide, Fred Hutchinson Cancer Center, 2022/09-2025/08.      
• Comparative Modeling for the Prevention and Control of Uterine Cancer, Columbia University, 2021/09-2025/08.      
• The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer Risk, National Institutes of Health, 2018/09-2022/08.