New technique developed to detect autism in children

Researchers have developed a new technique to help doctors more quickly and accurately detect autism spectrum disorder (ASD) in children. In a study led by the University of Waterloo, researchers characterized how children with ASD scan a person’s face differently than a neuro-typical child. Based on the findings, the researchers were able to develop a technique that considers how a […]

Read more

Artificial intelligence cuts lung cancer screening false positives

Lung cancer is the leading cause of cancer deaths worldwide. Screening is key for early detection and increased survival, but the current method has a 96 percent false positive rate. Using machine learning, researchers at the University of Pittsburgh and UPMC Hillman Cancer Center have found a way to substantially reduce false positives without missing a single case of cancer. […]

Read more