Using machine learning, researchers are able to use data from the brain to glean deeper insights and apply this new knowledge in clinical settings.

Johns Hopkins scientists have developed a method involving artificial intelligence to visualize and track changes in the strength of synapses—the connection points through which nerve cells in the ...

Patients with non-small cell lung cancer (NSCLC) with a high risk of brain metastases might feasibly be identified through machine-learning models, according to a recent study.

In studies with monkeys, researchers report that they have uncovered significant new details about how the cerebellum -- the 'learning machine' of the mammalian brain -- makes predictions and ...

A University of Cincinnati study found machine learning models can aid in the automation and detection of abnormal brain activity sometimes referred to as a "brain tsunami." ...

Artificial intelligence (AI) computer programs that process MRI results show differences in how the brains of men and women are organized at a cellular level, a new study shows.

Scientists have designed a transistor that stores and processes information like the human brain and can perform cognitive tasks that most artificial intelligence (AI) systems today struggle with.

A new machine learning approach has enabled researchers to understand the role of neural cells including astrocytes in addiction, withdrawal and relapse.