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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