The year’s most impressive achievements include ecology research via drone, mice with two dads, and the use of artificial intelligence to identify and monitor cancer cells.

A new study uses deep learning to improve the resolution of biological images, but elicits skepticism about its ability to enhance snapshots of sample types that it has never seen before.

A deep learning program can identify cells with higher metastatic potential based on the way they look and move.

Since He Jiankui presented his results at last week’s gene editing summit, researchers have raised concerns about his protocol, calling the procedure “amateurish” and “unconscionable.”

The result of a study among patients with epilepsy strengthens the case for the importance of this brain region in determining mood.

Acoustic forces can be used to differentiate adherent from non-adherent cells.

How acoustic waves let researchers measure whether, and how firmly, cells are bound to a substrate

United Nations members agree to some restrictions on the technology, but not a total suspension of its use.

Investigators have the victims’ samples in hand, but face a range of obstacles before they can finally ID them.