Disease experts have largely focused on how we got to where we are now with coronavirus infections. Improved data collection and sharing can enhance projections of what’s to come.

The bioluminescent Anomalops katoptron can coordinate its schooling behavior after dark. 

The three-dimensional cell cultures are still in the development phase, but researchers are excited about their use to predict patients’ responses to various treatment options.

Watch a hawk close in on a target.

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

The young UT Southwestern professor studied cell fate in yeast and was about to publish the first results from his lab.

A new microscopy program requires no fluorescent markers to identify cell type, nuclei, and other characteristics.

Influenza cases normally top out in February. This year brought an early start and an early peak, but how long flu season will remain is uncertain. 

Modeling gives insight to the critical role of streamflow conditions when assessing the concentrations of endocrine disrupting compounds.