Listen to a musicologist blow through the oldest known shell horn.

Scientists see great value in catchy acronyms, so they get creative when it comes to naming new tools and techniques.

Foodborne illnesses are consistently underreported. Social media may help.

Scientists are using social media to track diseases and understand how people respond to them.

A group of epidemiologists and computer scientists built a system to mine various online sources for keywords suggesting disease outbreaks.

A single-cell map of C. elegans’s transcriptome during development finds cell lineages that start out genetically different and end up as cells of similar function and genetic profile.

This newly described behavior occurs spontaneously, but can be modulated by food availability, temperature, and the size of the chambers.

Conflicting results on the existence of new neurons in adults have researchers designing new ways to identify and count neuronal progenitors—and finally get to the bottom of neurogenesis.

Researchers are developing a variety of approaches for clearing neural tissue to get a better view of the brain’s circuitry.

Submit your new product by the end of the day Monday to have a chance at being selected for a coveted spot in The Scientist's 2019 competition.

Hundreds of CRISPR patents have been granted around the world, and the number of applications continues to grow at a rapid pace.

The US patent office declares an interference between the intellectual property held by the Broad Institute and several patent applications filed by the University of California—opposite its previous ruling.

Meet the University of Toronto’s Yu Sun, whose work developing magnetic tweezers is featured in our Modus Operandi column.

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

Machine learning could be the key to reducing the use of animals in experiments.

A brief history of AI, machine learning, artificial neural networks, and deep learning.

Researchers are developing computational approaches to extract information from multiple sets of single-cell sequencing data.

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Analyzing protein-protein interactions can shed light on what tiny proteins do in the cell.