Bioinformatics Tools Uncover Childhood Seizure CauseNews
Early childhood seizures result from a rare disease that begin in the first months of life. Researchers at University of Utah Health have developed high-tech tools to uncover the genetic cause of the most difficult to diagnose cases.
Robots Can Better Influence Kids' OpinionsNews
Young children are significantly more likely than adults to have their opinions and decisions influenced by robots, according to new research. The study compared how adults and children respond to an identical task when in the presence of both their peers and humanoid robots.READ MORE
Supercomputer Simulations Shows HIV TargetsNews
HIV-1 replicates in ninja-like ways. The virus slips through the membrane of vital white blood cells. Inside, HIV-1 copies its genes and scavenges parts to build a protective bubble for its copies. Now, supercomputers have helped model a key building block in the HIV-1 protective capsid, which could lead to strategies for potential therapeutic intervention in HIV-1 replication.READ MORE
Crowdsourced Algorithms Predict Epileptic SeizuresNews
A study by University of Melbourne researchers reveals clinically relevant epileptic seizure prediction is possible in a wider range of patients than previously thought, thanks to the crowdsourcing of more than 10 000 algorithms worldwide.
DNA methylation implicated in initiation of liver fibrosis in non-alcoholic fatty liver diseaseREAD MORE
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.READ MORE
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.
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.READ MORE
A new understanding of the microbes and viruses in the thawing permafrost in Sweden may help scientists better predict the pace of climate change.READ MORE
Integrating nursing insights to predict survival rates in the intensive care unitREAD MORE
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.READ MORE
Death from heart failure in men and women compared in a study of over 90 000 patientsREAD MORE
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.READ MORE