This week, we are pleased to welcome Dr. Kevin P. Cross, Instem’s Principal Investigator with U.S. FDA Collaborations and VP of Product Engineering and Production, as a guest contributor to the blog. Over the last 15 years I have been working closely with the US Food and Drug Administration (FDA) as a principal investigator on …
Continue reading “US FDA collaborations – predicting mutagenicity and beyond…”
In several recent posts1,2 we highlighted the usefulness of an expert review of potentially reactive features. This is particularly important when an out-of-domain result is returned or when an area of the test chemical is not being considered by the computational model. The US Food and Drug Administration (FDA) recently published a paper showing that …
Continue reading “An expert review of potentially reactive features”
For toxicological tests, a false negative (i.e., predicting a chemical is negative when it is in fact positive) is one type of error. It is often desirable to minimize the number of false negatives to decrease the risk of missing a toxic chemical. Computational toxicology is a rapid high-throughput test of multiple chemicals, and like …
