Scientists have used machine learning to identify hundreds of new potential drugs that could help treat COVID-19, the disease caused by SARS-CoV-2.

AI-enhanced precision medicine identifies novel autism subtype.

Researchers develop new machine learning approach that shows promise in predicting Necrotizing enterocolitis; could lead to improved medical decision-making in neonatal ICUs.

Researchers have used the Zhores supercomputer to perform a very precise sensitivity analysis to reveal crucial parameters for different crop yield in the chernozem region.

A new analysis of ancient genomes suggests that different branches of the human family tree interbred multiple times, and that some humans carry DNA from an archaic, unknown ancestor.

A team of researchers have developed an algorithm through machine learning that helps predict sites of DNA methylation – a process that can change the activity of DNA without changing its overall structure – and could identify disease-causing mechanisms that would otherwise be missed by conventional screening methods.

At Technology Networks we understand that time is of the essence. That's why we've launched Teach Me in 10 a video series that challenges scientists to present and summarize their research area, a scientific concept, or technology in ten minutes or less.

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.

With life science industries facing increased competition, global regulatory demands, and pressure to shorten time to market, outsourcing part – or all – manufacturing is becoming increasingly prevalent. But what should be considered in choosing such a custom or contract manufacturing partner?