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

The adoption of machine-learning techniques to aid in diagnosis should be done with radiologists’ guidance.

Machine-learning algorithms tuned to detecting cancer DNA in the blood could pave the way for personalized cancer care.

The first wave of AI-driven job loss among doctors will be in the field of radiology and is poised to force a paradigm shift in medical imaging.

Computational biologists are optimistic that the purchase of the world’s largest hub for open-source computer code will not affect the way they use GitHub for science.

An algorithm trained to move through a virtual environment spontaneously generated patterns of activity found in so-called grid neurons.

Scientists provide evidence that blood-flow patterns in six-month-old babies’ brains can accurately predict cognitive and behavioral markers of autism spectrum disorder two years later.  

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

A tool that uses machine learning algorithms to comb and categorize the scientific literature is making waves in neuroscience.