Marc Daniel Ryser

Marc Daniel Ryser
  • Assistant Professor in Population Health Sciences
  • Assistant Professor of Mathematics (Joint)
  • Member of the Duke Cancer Institute
External address: 299B Physics Bldg, 120 Science Drive, Durham, NC 27708
Internal office address: Box 90320, Durham, NC 27708
Phone: (919) 684-8294

Research Areas and Keywords

Biological Modeling

cancer biology, cancer epidemiology, early carcinogenesis, cancer evolution

Computational Mathematics

cancer evolution

PDE & Dynamical Systems

bone biology, pattern formation

Probability

cancer biology, cancer epidemiology, early carcinogenesis, cancer evolution

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

Education & Training
  • Ph.D., McGill University (Canada) 2011

  • Ph.D., McGill University Faculty of Medicine (Canada) 2011

Selected Grants

Molecular and Radiologic Predictors of Invasion in a DCIS Active Surveillance Cohort awarded by Breast Cancer Research Foundation (Co Investigator). 2019 to 2020

Modeling to Minimize Detection Bias in Cancer Risk Prediction Studies awarded by Fred Hutchinson Cancer Research Center (Principal Investigator). 2019 to 2020

Mathematical Analysis of Spatial Cancer Models awarded by National Science Foundation (Co-Principal Investigator). 2016 to 2020

Molecular and Radiologic Predictors of Invasion in a DCIS Active Surveillance Cohort awarded by Breast Cancer Research Foundation (Co Investigator). 2018 to 2019

Williamson, Theresa, et al. “Withdrawal of Life-Supporting Treatment in Severe Traumatic Brain Injury.Jama Surg, June 2020. Pubmed, doi:10.1001/jamasurg.2020.1790. Full Text

Chootipongchaivat, Sarocha, et al. “Modeling the natural history of ductal carcinoma in situ based on population data.Breast Cancer Res, vol. 22, no. 1, May 2020, p. 53. Pubmed, doi:10.1186/s13058-020-01287-6. Full Text

Rozenblatt-Rosen, Orit, et al. “The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution.Cell, vol. 181, no. 2, Apr. 2020, pp. 236–49. Pubmed, doi:10.1016/j.cell.2020.03.053. Full Text Open Access Copy

Ryser, Marc D., et al. “Minimal barriers to invasion during human colorectal tumor growth.Nat Commun, vol. 11, no. 1, Mar. 2020, p. 1280. Pubmed, doi:10.1038/s41467-020-14908-7. Full Text

Ryser, Marc D., and E. Shelley Hwang. “Response to Habel and Buist.J Natl Cancer Inst, vol. 112, no. 2, Feb. 2020, pp. 216–17. Pubmed, doi:10.1093/jnci/djz120. Full Text

Williamson, Theresa, et al. “Surgical decision making in the setting of severe traumatic brain injury: A survey of neurosurgeons.Plos One, vol. 15, no. 3, 2020, p. e0228947. Pubmed, doi:10.1371/journal.pone.0228947. Full Text

Ryser, Marc D., et al. “Cancer Outcomes in DCIS Patients Without Locoregional Treatment.J Natl Cancer Inst, vol. 111, no. 9, Sept. 2019, pp. 952–60. Pubmed, doi:10.1093/jnci/djy220. Full Text

Ryser, Marc D., et al. “Incidence of Ductal Carcinoma In Situ in the United States, 2000-2014.Cancer Epidemiol Biomarkers Prev, vol. 28, no. 8, Aug. 2019, pp. 1316–23. Pubmed, doi:10.1158/1055-9965.EPI-18-1262. Full Text

Grimm, Lars J., et al. “Growth Dynamics of Mammographic Calcifications: Differentiating Ductal Carcinoma in Situ from Benign Breast Disease.Radiology, vol. 292, no. 1, July 2019, pp. 77–83. Pubmed, doi:10.1148/radiol.2019182599. Full Text

Shen, Yu, et al. “Estimating the frequency of indolent breast cancer in screening trials.Stat Methods Med Res, vol. 28, no. 4, Apr. 2019, pp. 1261–71. Pubmed, doi:10.1177/0962280217754232. Full Text

Pages

Fridman, Ilona, et al. “INFORMATION PROCESSING AND PATIENT DECISION MAKING: A BIG DATA APPROACH TO TREATMENT CHOICE IN PROSTATE CANCER PATIENTS.” Medical Decision Making, vol. 40, no. 1, SAGE PUBLICATIONS INC, 2020, pp. E183–84.

  Shira at the Algebraic CombinatoriXX II workshop at BIRS last summer Shira Viel I received my PhD from North Carolina State University under the direction of Nathan Reading.  My thesis work was in algebraic and geometric combinatorics with a focus... read more »


Tumor ancestral trees are physically embedded within their tumors

In cancer treatment, metastatic tumors receive equal treatment.  Patients are given the same aggressive therapies when abnormal clusters of cells are discovered early, even if they may be harmless.  In research studies co-led by Duke's Marc Ryser... read more »


New Approach to Bone Remodeling

Kevin Murgas (Biomedical Engineering, Class 2017), started working on this project during a Research Experience for Undergraduates (REU) program in mathematical biology in the summer of 2015. Together with his research mentor, Dr. Marc Ryser, they... read more »


Study: Vaccinating Boys Against HPV Could Prevent Cancer In Men and Women

A mathematical model from Duke University mathematicians suggests more can be done to protect people from the human papilloma virus.    HPV is associated with cervical cancer in women, but can also cause various cancers in men.   Duke mathematician... read more »


Mathematical model suggests select DCIS patients could delay treatment

Active surveillance could be a viable alternative to surgery and radiation for select patients with ductal carcinoma in situ, or DCIS, according to a mathematical model developed by researchers at Duke University.... read more »


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