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Academic Training
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Undergraduate: |
B.A. in Biology with concentration in Environmental Sciences from Columbia College, Columbia University, 2001
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Graduate: |
M.D.
with Distinction in Research from SUNY Downstate College of
Medicine, 2005 |
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Current Position
Research
Interests
Biologically-based mechanistic mathematical modeling of:
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Radiation-induced carcinogenesis, e.g. for the purpose of predicting second cancer risks due to radiotherapy for an existing malignancy.
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Bystander effects.
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Dose rate effects, e.g. the inverse dose rate effect in radon-induced lung carcinogenesis.
Compared with the more empirical/statistical approaches that are often used, biologically-based mechanistic models provide three general advantages:
First, the parameters have direct biological interpretations, potentially allowing for validation or rejection of the model.
Second, predictions of risk from exposure scenarios for which no data are yet available can be obtained with more confidence.
Third, not only a description of the data, but insight into carcinogenesis mechanisms, is provided.
Select Publications
Online
Some papers are
available online in PDF format (requires Adobe Acrobat Reader,
available for free download here:
).
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Brenner DJ, Shuryak I. "Prospective Second-Cancer
Risk Estimation for Contemporary Radiotherapeutic Protocols",
in Cancer survivorship research and education, late effects
on normal tissues, eds. P. Rubin, L.S. Constine, L.B. Marks,
P. Okunieff. Springer Verlag, Berlin, Heidelberg. 2008.
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Shuryak I,
Sachs RK, Brenner DJ. Biophysical models of radiation bystander
effects: 1. Spatial effects in three-dimensional tissues. Radiat
Res. 168(6):741-9, 2007. [PDF]
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Brenner
DJ, Shuryak I, Russo S, Sachs RK. Reducing
second breast cancers: a potential role for prophylactic mammary
irradiation. J Clin Oncol. 25(31):4868-72,
2007. [PDF]
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Sachs
RK, Shuryak I, Brenner D, Fakir H, Hlatky L,
Hahnfeldt P. Second cancers after fractionated radiotherapy:
stochastic population dynamics effects. J Theor Biol.
249(3):518-31, 2007. [PDF]
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Shuryak
I, Sachs RK, Hlatky L, Little MP, Hahnfeldt P, Brenner
DJ. Radiation-induced leukemia at doses relevant to radiation
therapy: modeling mechanisms and estimating risks. J Natl
Cancer Inst. 98(24):1794-806, 2006. [PDF]
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