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ToxSci Advance Access originally published online on September 22, 2004
Toxicological Sciences 2004 82(1):1-2; doi:10.1093/toxsci/kfh282
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Toxicological Sciences vol. 82 no. 1 © Society of Toxicology 2004; all rights reserved.

TOXICOLOGICAL HIGHLIGHT

Biologically Motivated Computational Modeling: Contribution to Risk Assessment

M. E. (Bette) Meek1

Safe Environments Programme, Health Canada, Address Locator 0801C2, Tunney's Pasture, Ottawa, Ontario K1A 0L2, Canada

Received September 15, 2004; accepted September 17, 2004

The first 10% of the full text of this article appears below.

The article highlighted in this issue is "Human Respiratory Tract Cancer Risks of Inhaled Formaldehyde: Dose Response Predictions Derived from Biologically Motivated Computational Modeling of a Combined Rodent and Human Dataset," by Rory Conolly, Julia Kimbell, Derek Janszen, Paul Schlosser, Darin Kalisak, Julian Preston, and Frederick Miller.

In the featured article, Conolly et al. describe the development of the human component of a biologically motivated computational model to predict exposure response at levels of formaldehyde less than those associated with squamous cell carcinomas (SCC) observed in Fischer 344 rats exposed by inhalation. The article addresses extension of the computational model to the entire respiratory tract of humans, . . . [Full Text of this Article]

1 For correspondence via fax: (613) 954-2486. E-mail: Bette_Meek@hc-sc.gc.ca.


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