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Marc D. Ryser, Assistant Professor in Population Health Sciences

Marc D. Ryser

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: send me a message
Web Pages:  http://www.math.duke.edu/~ryser/
https://sites.duke.edu/marcdryser/

Education:

Ph.D.McGill University (Canada)2011
MS (Physics)EPFL2006
BS (Physics)EPFL2004
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 (January, 2024) [doi]  [abs]
  2. 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]
  3. 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]
  4. Lange, J; Zhao, Y; Gogebakan, KC; Olivas-Martinez, A; Ryser, MD; Gard, CC; Etzioni, R, Test sensitivity in a prospective cancer screening program: A critique of a common proxy measure., Stat Methods Med Res, vol. 32 no. 6 (June, 2023), pp. 1053-1063 [doi]  [abs]
  5. Byng, D; Thomas, SM; Rushing, CN; Lynch, T; McCarthy, A; Francescatti, AB; Frank, ES; Partridge, AH; Thompson, AM; Retèl, VP; van Harten, WH; Grimm, LJ; Hyslop, T; Hwang, ES; Ryser, MD, Surveillance Imaging after Primary Diagnosis of Ductal Carcinoma in Situ., Radiology, vol. 307 no. 1 (April, 2023), pp. e221210 [doi]  [abs]
Recent Grant Support

  • Dynamic imaging and tissue biomarker models to delineate indolent from aggressive breast calcifications, National Institutes of Health, 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, 2022/09-2024/08.      
  • The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer Risk, National Institutes of Health, 2018/09-2022/08.      
  • Molecular and Radiologic Predictors of Invasion in a DCIS Active Surveillance Cohort, Breast Cancer Research Foundation, 2020/10-2021/09.      

 

dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821

Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320