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New & Currently Funded Projects




BIO-BASED RISK MODELING 03-20

Use of Computational Modeling to Evaluate Hypotheses About the Molecular and Cellular Mechanisms of Bystander Effects
Rory Conolly
Rconolly@ciit.org
Website: http://www.ciit.org/Researchers/rconolly
Chemical Institute for Industrial Toxicology
Research Triangle Park, NC 27709

Use of a State-Vector Model of Radiation Carcinogenesis to Integrate Information from In vitro, In vivo, Epidemiological and Physiological Studies
Douglas Crawford-Brown
douglas_crawford-brown@unc.edu
Website: http://www.unc.edu/~dcrawfor/doug.htm
University of North Carolina

Chapel Hill, NC 27599

Biologically-Based Risk Modeling with a Focus on Cellular Repair Mechanisms for Radiation-Induced Damage
Robert Goble
rgoble@clarku.edu
Website: http://www.clarku.edu/departments/idce/faculty/goble.cfm
Clark University
Worcester, MA 01610

Multi-level Kinetic and Dynamic Biologically Based Risk Models for Low Dose Radiation
William Griffith
Griffith@u.washington.edu
Website: http://depts.washington.edu/chc/riskchar.html
University of Washington
Seattle, WA 98105

Biologically-Based Multistage Modeling of Radiation Effects
William Hazelton
hazelton@fhcrc.org
Fred Hutchinson Cancer Institute

Seattle, WA 98105

Modeling the Interrelations Among Radiation-Induced Bystander Effects, Genomic Instability, and Cancer
Rainer Sachs
sachs@math.berkeley.edu
Website: http://math.berkeley.edu/~sachs/
University of California-Berkeley
Berkley, CA 74720

Biological-Based Modeling of Low Dose Radiation Risks
Advanced Computational Approaches for characterizing Stochastic Cellular Responses to Low-Dose, Low-Dose-Rate Exposures
Bobby Scott
BScott@Lrri.org
Lovelace Biomedical & Environmental Research Institute

Towards Constructing and Testing a Virtual Tissue
Robert Stewart
trebor@purdue.edu
Website: http://www.healthsciences.purdue.edu/faculty/stewart.html
Purdue University
West Lafayette, IN 47907-2051

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