From artificial intelligence to pluripotent stem cells, this year saw the publication of a bevy of intriguing new methods, as well as tweaks to existing protocols.

A deep neural network can help determine how likely cancer cells are to metastasize.

Scientists used machine learning to analyze the coevolution of physical traits in butterflies.

The proof-of-concept study could be a step toward better assisted communication devices for paralyzed people.

Microbiologist Nick Loman talks about the power of artificial intelligence and the best way to use it.

An artificial intelligence program called a neural network exceeds radiologists’ ability to detect malignancies, but more testing is needed before using the program clinically.

Neural networks generate abstract images designed to activate particular cells, lending insight into their function.

Double-strand breaks can produce several different outcomes.

The latest machine learning models can identify many visual and molecular features of a particular cancer. If the technology advances to the clinic, it could help diagnose patients and predict survival.