Researchers have developed a new technique to locally modify the properties of a metamagnetic material, which could increase the capacity and robustness of digital memories.

A team from The University of Michigan has created the "OncCOVID app". This new app draws on global cancer and coronavirus data to create an individualized mortality risk assessment for receiving immediate versus delayed cancer treatment.

Scientists have used books and news articles to “teach” a machine moral reasoning.

Scientists have trained a computer to analyse different types of brain scan and predict the age of the human brain, according to a new study in the open-access journal eLife.

Airborne transmission of viruses, like the virus causing COVID-19, is not well understood, but a good baseline for study is a deeper understanding of how particles travel through the air when people cough. Even in a slight breeze of 4 kph, saliva travels 18 feet in 5 seconds.

Researchers have reported a discovery in the development of spintronics, a new type of memory storage capable of processing information much faster than current technology while consuming less energy.

On December 31, 2019, the first cases of a novel coronavirus were identified in Wuhan City, Hubei Province, China. Here, we curate a collection of news and content related to the outbreak.

Antimicrobial resistance (AMR) is the ability of microorganisms to resist the killing capacity of antimicrobial drugs, a worryingly increasing problem. This article explores the science behind AMR, factors promoting it's spread and techniques to detect it. Looking to the future, ways to combat AMR and alternatives to antimicrobials are discussed.

As some of the stricter COVID-19 lockdown restrictions are being eased, some have already experienced a second wave of cases. But might there be a way to predict new epicenters of infection and nip them in the bud before they are able to establish themselves and spread further? Some scientists think so, and the answer lies beneath our feet – wastewater.

A continual pursuit of discovery has brought researchers to, arguably, one of the greatest challenges yet in modern science: the field of metabolomics.

The internet of things (IoT) has been used in hospitals to track people, supplies and equipment so that they can improve workflow, reduce congestion and delays, monitor the condition of equipment and reduce the misplacement of devices. Will it have a similarly game-changing impact in research labs?

In this article, we explore how automation in the laboratory environment can give the scientist greater control over their instruments to drive up standards and quicken the experimental process.