Marc D. Ryser, Instructor of Mathematics and Assistant Professor of Population Health Sciences and Assistant Professor 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

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

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. Rozenblatt-Rosen, O; Regev, A; Oberdoerffer, P; Nawy, T; Hupalowska, A; Rood, JE; Ashenberg, O; Cerami, E; Coffey, RJ; Demir, E; Ding, L; Esplin, ED; Ford, JM; Goecks, J; Ghosh, S; Gray, JW; Guinney, J; Hanlon, SE; Hughes, SK; Hwang, ES; Iacobuzio-Donahue, CA; Jané-Valbuena, J; Johnson, BE; Lau, KS; Lively, T; Mazzilli, SA; Pe'er, D; Santagata, S; Shalek, AK; Schapiro, D; Snyder, MP; Sorger, PK; Spira, AE; Srivastava, S; Tan, K; West, RB; Williams, EH; Human Tumor Atlas Network,, The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution., Cell, vol. 181 no. 2 (April, 2020), pp. 236-249 [doi]  [abs]
2. Ryser, MD; Mallo, D; Hall, A; Hardman, T; King, LM; Tatishchev, S; Sorribes, IC; Maley, CC; Marks, JR; Hwang, ES; Shibata, D, Minimal barriers to invasion during human colorectal tumor growth., Nature Communications, vol. 11 no. 1 (March, 2020), pp. 1280 [doi]  [abs]
3. Ryser, MD; Hwang, ES, Response to Habel and Buist., J Natl Cancer Inst, vol. 112 no. 2 (February, 2020), pp. 216-217 [doi]
4. Fridman, I; Kumaresan, V; Vijendra, P; Seshadri, P; Garland, S; Kim, G; Fagerlin, A; Ubel, PA; Ryser, MD, INFORMATION PROCESSING AND PATIENT DECISION MAKING: A BIG DATA APPROACH TO TREATMENT CHOICE IN PROSTATE CANCER PATIENTS, Medical Decision Making : an International Journal of the Society for Medical Decision Making, vol. 40 no. 1 (January, 2020), pp. E183-E184, SAGE PUBLICATIONS INC
5. Williamson, T; Ryser, MD; Abdelgadir, J; Lemmon, M; Barks, MC; Zakare, R; Ubel, PA, Surgical decision making in the setting of severe traumatic brain injury: A survey of neurosurgeons., Plos One, vol. 15 no. 3 (2020), pp. e0228947 [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, 2019/10-2020/09.      
• Modeling to Minimize Detection Bias in Cancer Risk Prediction Studies, 2019/09-2020/08.      
• 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.      
• The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer Risk, National Institutes of Health, 2016/09-2018/08.