Many preclinical studies carried out in vivo are poorly designed and generate irreproducible data, but efforts to address the problem are on the rise.

FDA researchers report that multiple active ingredients wind up in users’ bloodstream and recommend toxicology testing to investigate the clinical significance of the findings.

The pharmaceutical industry is looking to machine learning to overcome complex challenges in drug development.

After the release of an undercover investigation, Corteva Agrisciences announces it will release 36 beagles for rehoming.

Conceived as a way to resolve differences between government regulators and academics over the chemical’s effects, the CLARITY-BPA collaboration instead highlights divisions.

Researchers develop a machine-learning tool for toxicity analyses that is more consistent in predicting chemical hazards than assays on animals.

Reducing the evaluation to only direct contact, rather than including environmental exposures, could leave damaging substances on the market, critics say.

Researchers pinpoint a protein that can metabolize at least one of the insecticides, highlighting a route to identifying compounds that are friendlier to the critical pollinators.

The University of Rhode Island neurotoxicologist and dean came to the U.S. for college in the 1980s.