Cristian Tomasetti, Ph.D.
Affiliations: | 2010 | Applied Mathematics and Scientific Computation | University of Maryland, College Park, College Park, MD |
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"Cristian Tomasetti"Parents
Sign in to add mentor| Dmitry Dolgopyat | grad student | 2010 | University of Maryland | |
| (Mathematical modeling of drug resistance and cancer stem cells dynamics.) | ||||
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Publications
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| Douville C, Lahouel K, Kuo A, et al. (2024) Machine learning to detect the SINEs of cancer. Science Translational Medicine. 16: eadi3883 |
| Mattox AK, Douville C, Wang Y, et al. (2023) The origin of highly elevated cell-free DNA in healthy individuals and patients with pancreatic, colorectal, lung, or ovarian cancer. Cancer Discovery |
| Pénisson S, Lambert A, Tomasetti C. (2022) Evaluating cancer etiology and risk with a mathematical model of tumor evolution. Nature Communications. 13: 7224 |
| Afsari B, Kuo A, Zhang Y, et al. (2021) Supervised mutational signatures for obesity and other tissue-specific etiological factors in cancer. Elife. 10 |
| Lennon AM, Buchanan AH, Kinde I, et al. (2020) Feasibility of blood testing combined with PET-CT to screen for cancer and guide intervention. Science (New York, N.Y.) |
| Douville C, Cohen JD, Ptak J, et al. (2020) Assessing aneuploidy with repetitive element sequencing. Proceedings of the National Academy of Sciences of the United States of America |
| Lahouel K, Younes L, Danilova L, et al. (2019) Revisiting the tumorigenesis timeline with a data-driven generative model. Proceedings of the National Academy of Sciences of the United States of America |
| Tie J, Cohen JD, Wang Y, et al. (2019) Circulating Tumor DNA Analyses as Markers of Recurrence Risk and Benefit of Adjuvant Therapy for Stage III Colon Cancer. Jama Oncology |
| Tomasetti C, Poling J, Roberts NJ, et al. (2019) Cell division rates decrease with age, providing a potential explanation for the age-dependent deceleration in cancer incidence. Proceedings of the National Academy of Sciences of the United States of America |
| Tomasetti C. (2019) Mutated clones are the new normal. Science (New York, N.Y.). 364: 938-939 |