The network effect can improve the ways that biomedical researchers collaborate.

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

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

Researchers are using artificial intelligence to pick out the features of brightfield microscopy images.

Artificially intelligent software has human-like ability to analyze host-pathogen interactions in microscopy images.

Algorithms for motion capture help neuroscientists dig into the question of how the brain produces behavior.

A high school student designs a new beehive and gets help from machine learning to monitor for varroa mite infestation.

Artificially intelligent software has human-like ability to analyze host-pathogen interactions in microscopy images.

Scientists photograph a spider web in micron-scale glory.

Unmanned aerial vehicles allow researchers to collect huge volumes of biological data cheaply, easily, and at higher resolution than ever before.

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.

Nature Plants explains how it handled a manuscript coauthored by Patrice Dunoyer, a biologist with multiple retractions to his name.

Biomedical engineer Kyle Quinn fends off a frenzied Internet mob after being wrongly identified as a Charlottesville protester.

Profiles of five programs for quantifying data from Westerns, dot blots, gels, and colony cultures