News by Subject Technology & Engineering

Trained to see patterns by analyzing thousands of chest X-rays, a computer program predicted with up to 80 percent accuracy which COVID-19 patients would develop life-threatening complications.

The researchers attribute the loss of motor neurons in patients with Amyotrophic Lateral Sclerosis (ALS) to a new mechanism that blocks any cellular reaction that involves nucleic acids (DNA or RNA) Many cellular processes involving nucleic acids fail in the motor neurons of ALS patients; the mechanism discovered by the CNIO group finally explains these widespread problems that have been reported for years The paper is published this week in 'The EMBO Journal'

Using a brain-computer interface, a clinical trial participant was able to create text on a computer at a rate of 90 characters per minute just by thinking about the movements involved in writing by hand.

Gold leaf -- gold metal hammered into thin sheets -- is used by artists and crafters to gild picture frames, artwork and clothing. Despite its luxurious appearance, the material is affordable and available at most craft stores. Now, researchers reporting in ACS Central Science have developed gold leaf electrodes that, in combination with a CRISPR-based assay, could sensitively detect human papillomavirus (HPV) DNA in human samples. The method also could be modified to diagnose other viral infections.

Researchers have, for the first time, decoded the neural signals associated with writing letters, then displayed typed versions of these letters in real time. They hope their invention could one day help people with paralysis communicate.

To really understand how people type on touchscreens, researchers at Aalto University and the Finnish Center for Artificial Intelligence (FCAI) have created the first artificial intelligence model that predicts how people move their eyes and fingers while typing. The AI model can simulate how a human user would type any sentence on any keyboard design. It makes errors, detects and corrects them, and also predicts how people adapt to a new auto-correction system or keyboard design.