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.
The never-ending fight against bacteria has taken a turn in humanity’s favor with the announcement of a tool that could give the upper hand in drug research.READ MORE
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.
Scientists have developed a low-cost method for real-time monitoring of pollutants using commonly available sensors.READ MORE
Lobachevsky University scientists develop an effective approach to optimizing medicinal molecules, which will significantly accelerate and automate the process of prototype optimization to candidate molecules for subsequent preclinical testing.READ MORE
Human water regulation, groundwater lateral flow and the movement of soil frost and thaw fronts affect water and thermal processes, as well as energy and water exchanges between the land surface and atmosphere, therefore appropriate modelling is vital.READ MORE
Research shows the myfood24 online diet monitoring tool is as effective as similar tools already available to health care practitioners, researchers and educators, and more efficient to use.READ MORE
Radleys “Build a Lego Lab” competition is back and aims this year to more outlandish, clever and crazy Lego lab creations than ever before.READ MORE
Mood disorders like major depressive disorder (MDD) and bipolar disorder are often complex and hard to diagnose, especially among youth when the illness is just evolving. This can make decisions about medication difficult. In a collaborative study by Lawson Health Research Institute, The Mind Research Network and Brainnetome Center, researchers have developed an artificial intelligence (AI) algorithm that analyzes brain scans to better classify illness in patients with a complex mood disorder and help predict their response to medication.