Researchers are developing a user-friendly method to reconstruct and analyze SSU rRNA from raw metagenome data for easy identification of microbes in environmental samples.

Zoologists have studied the nervous systems of insects to investigate the principles of biological brain computation and possible implications for machine learning and artificial intelligence.

A research team has discovered a mechanism that disease-causing bacteria use to anchor their protective outer membranes. These findings may be used to develop a strategy that can interrupt this process.

Scientists have created a molecular tagging system that utilizes synthetic DNA strands to create a "molbit" barcode that is readable within seconds.

Physicists have used a new model to demonstrate how infection rates decrease through the implementation of social distancing. These models often serve as a basis for political decisions and underline the justification for any measures taken.

On a daily basis, most of us are in close contact with advanced AI methods known as deep learning. Two students at the University of Copenhagen have developed a software carbon tracker to measure AI energy consumption.

In this article, we bring together resources from the across the site on gas chromatography, how it works, its pairing with downstream techniques and what its applications are.

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 what has become the COVID-19 pandemic.

Inductively coupled plasma-optical emission spectroscopy (ICP-OES) is an analytical technique that is used to identify the atomic composition of a sample. In this article we will explore how the technique works, what it tells us, strengths, limitations and common problems, and how it compares to other techniques in this analytical niche.

Wastewater-based surveillance can detect cases of COVID-19 efficiently in large populations, both early and in asymptomatic individuals. This buys public health official precious time to act.

Inductively coupled plasma mass spectrometry (ICP-MS) is a flexible chemical analysis method that can be tailored to meet the demands of a wide variety of industries. In this article, we explore how it works, what it tells us, it's strengths and limitations and how it compares to other techniques in this analytical space.

To learn more about the PANDIS model, its aims, and how it can be used to help diagnose and treat patients suffering from a range of conditions spanning from cancers to “mystery chronic diseases”, Technology Networks spoke with PANDIS’s founders, Professor Gilles Guillemin and Catherine Stace.