Marc D. Ryser, Assistant Professor of Population Health Sciences and Mathematics and Member of Duke Cancer Institute

For an up-to-date description of my research program please visit

https://ryser.netlify.com

Areas of Expertise: Multi-scale modeling, early carcinogenesis, cancer evolution

Contact Info:

Office Location:	299B Physics Bldg, 120 Science Drive, Durham, NC 27708
Email Address:
Web Pages:	http://www.math.duke.edu/~ryser/ https://ryser.netlify.com

Teaching (Spring 2022):

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

  Physics 119, MW 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 • 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   (More Publications)

1. van Seijen, M; Lips, EH; Fu, L; Giardiello, D; van Duijnhoven, F; de Munck, L; Elshof, LE; Thompson, A; Sawyer, E; Ryser, MD; Hwang, ES; Schmidt, MK; Elkhuizen, PHM; Grand Challenge PRECISION Consortium, ; Wesseling, J; Schaapveld, M, Long-term risk of subsequent ipsilateral lesions after surgery with or without radiotherapy for ductal carcinoma in situ of the breast., Br J Cancer, vol. 125 no. 10 (November, 2021), pp. 1443-1449 [doi]  [abs]
2. Murgas, KA; Ma, Y; Shahidi, LK; Mukherjee, S; Allen, AS; Shibata, D; Ryser, MD, A Bayesian Hierarchical Model to Estimate DNA Methylation Conservation in Colorectal Tumors., Bioinformatics (Oxford, England) (September, 2021) [doi]  [abs]
3. Chan, L; Fridman, I; Grant, J; Hwang, ES; Weinfurt, K; Ryser, MD, USING PAIRWISE SIMULATED OUTCOMES TO IMPROVE THE UNDERSTANDING OF THE STATISTICAL DIFFERENCES BETWEEN TWO RISK DISTRIBUTIONS, Medical Decision Making : an International Journal of the Society for Medical Decision Making, vol. 41 no. 4 (May, 2021), pp. E284-E286
4. Fridman, I; Chan, L; Grant, J; Fish, L; Falkovic, M; Brioux, J; Pollak, KI; Weinfurt, K; Hwang, S; Ryser, MD, A WEB-BASED PERSONALIZED DECISION TOOL FOR PATIENTS DIAGNOSED WITH DUCTAL CARCINOMA IN SITU: DEVELOPMENT, CONTENT EVALUATION, AND USABILITY TESTING, Medical Decision Making : an International Journal of the Society for Medical Decision Making, vol. 41 no. 4 (May, 2021), pp. E78-E80
5. Butt, J; Blot, WJ; Visvanathan, K; Le Marchand, L; Wilkens, LR; Chen, Y; Sesso, HD; Teras, L; Ryser, MD; Hyslop, T; Wassertheil-Smoller, S; Tinker, LF; Potter, JD; Song, M; Berndt, SI; Waterboer, T; Pawlita, M; Epplein, M, Auto-antibodies to p53 and the Subsequent Development of Colorectal Cancer in a U.S. Prospective Cohort Consortium., Cancer Epidemiol Biomarkers Prev, vol. 29 no. 12 (December, 2020), pp. 2729-2734 [doi]  [abs]

Recent Grant Support

• Molecular and Radiologic Predictors of Invasion in a DCIS Active Surveillance Cohort, Breast Cancer Research Foundation, 2021/10-2022/09.      
• 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.      
• Modeling to Minimize Detection Bias in Cancer Risk Prediction Studies, Fred Hutchinson Cancer Research Center, 2019/09-2021/08.      
• Molecular and Radiologic Predictors of Invasion in a DCIS Active Surveillance Cohort, Breast Cancer Research Foundation, 2019/10-2020/09.      
• Mathematical Analysis of Spatial Cancer Models, National Science Foundation, 1614838, 2016/07-2020/06.      
• Molecular and Radiologic Predictors of Invasion in a DCIS Active Surveillance Cohort, Breast Cancer Research Foundation, 2018/10-2019/09.