Machine learning can analyze photographs of cancer, tumor pathology slides, and genomes. Now, scientists are poised to integrate that information into cancer uber-models.

Machine learning could be the key to reducing the use of animals in experiments.

Researchers are developing computational approaches to extract information from multiple sets of single-cell sequencing data.

Researchers develop an app that can estimate the biological age of a rodent from its mug shot—and could give a boost to the science of human aging in the process.

A junk mail filter can learn to pick out six behaviors of hydras by analyzing hours of video footage.

The use of underperforming computational tools is a major offender in science’s reproducibility crisis—and there’s growing momentum to avoid it.

Machine-learning algorithms can automate the analysis of cell images and data.