Math @ Duke
Marc D. Ryser, Assistant Professor of Population Health Sciences and Instructor of Mathematics and Assistant Professor and Member of Duke Cancer Institute
For an up-to-date description of my research program please visit
Areas of Expertise: Multi-scale modeling, early carcinogenesis, cancer evolution
- Contact Info:
|Ph.D.||McGill University (Canada)||2011|
- Research Interests:
Please visit my personal site for information about me and my research
- Bone and Bones • Bone Neoplasms • Bone Resorption • Chemotaxis • Computational Biology • Computer Simulation • Fractures, Bone • Gene Expression Profiling • Homeostasis • Meta-Analysis as Topic • Models, Biological • Osteoblasts • Osteoprotegerin • Parathyroid Hormone-Related Protein • RANK Ligand • Solubility • Time Factors
- Recent Publications
- Shen, Y; Dong, W; Gulati, R; Ryser, MD; Etzioni, R, Estimating the frequency of indolent breast cancer in screening trials.,
Statistical Methods in Medical Research, vol. 28 no. 4
pp. 1261-1271 [doi] [abs]
- Ryser, MD; Weaver, DL; Zhao, F; Worni, M; Grimm, LJ; Gulati, R; Etzioni, R; Hyslop, T; Lee, SJ; Hwang, ES, Cancer Outcomes in DCIS Patients Without Locoregional Treatment.,
Journal of the National Cancer Institute
(February, 2019) [doi] [abs]
- Ryser, MD; Gulati, R; Eisenberg, MC; Shen, Y; Hwang, ES; Etzioni, RB, Identification of the Fraction of Indolent Tumors and Associated Overdiagnosis in Breast Cancer Screening Trials.,
American Journal of Epidemiology, vol. 188 no. 1
pp. 197-205 [doi] [abs]
- Ryser, MD; Yu, M; Grady, W; Siegmund, K; Shibata, D, Epigenetic Heterogeneity in Human Colorectal Tumors Reveals Preferential Conservation And Evidence of Immune Surveillance.,
Scientific Reports, vol. 8 no. 1
pp. 17292 [doi] [abs]
- Ryser, MD; Min, B-H; Siegmund, KD; Shibata, D, Spatial mutation patterns as markers of early colorectal tumor cell mobility.,
Proceedings of the National Academy of Sciences of the United States of America, vol. 115 no. 22
pp. 5774-5779 [doi] [abs]
- Recent Grant Support
- The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer Risk, National Institutes of Health, 2018/09-2021/08.
- Molecular and Radiologic Predictors of Invasion in a DCIS Active Surveillance Cohort, Breast Cancer Research Foundation, 2018/10-2019/09.
- Mathematical Analysis of Spatial Cancer Models, National Science Foundation, 1614838, 2016/07-2019/06.
- The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer Risk, National Institutes of Health, 2016/09-2018/08.
Duke University, Box 90320
Durham, NC 27708-0320