News

A new understanding of the microbes and viruses in the thawing permafrost in Sweden may help scientists better predict the pace of climate change.

Discrepancies between the estimates for global tuberculosis deaths is due to different methodologies and data sources used by each institution. The results highlight the need to improve the modeling approaches in these countries in order to understand the true burden of the disease and design adequate health policies.

A new machine learning framework, dubbed ExPecto, can predict the effects of mutations in the so-called “dark matter” regions of the human genome. ExPecto pinpoints how mutations can disrupt the way genes turn on and off throughout your body.

Researchers have helped create the first tool to calculate the ‘nitrogen footprint’ of an organisation. The tool will provide a guide to sustainability and pollution reduction for daily activities such as food consumption, travel and energy use.

Death from heart failure in men and women compared in a study of over 90 000 patients

New research that used a machine-learning algorithm to investigate MRI images of schizophrenia patients has successfully identified response to antipsychotic treatment in 4 out of 5 patients.

Integrating nursing insights to predict survival rates in the intensive care unit

Experts investigate the density of the wild boar population in Europe, and assess measures to reduce it and keep wild boar infected with African swine fever away from uninfected ones. They also identify ways to detect the disease early.

Researchers who specialize in visualizing molecular structures developed a 3D model based on the 1918 H1 pandemic influenza virus. They aimed to increase knowledge on virus-like particles which show promise as vaccine platform.

Why are axons, the spindly arms extending from neurons that transmit information from neuron to neuron in the brain, designed the way they are?