Artificial Neural Network Investigates How Decision Making Is Altered in SchizophreniaNews
Scientists have built a computer 'brain circuit', or artificial neural network, that mirrors human decision-making processes and sheds light on how circuits might be altered in psychiatric diseases, a new study published today in eLife reports.
Researchers have created a machine-learning algorithm that can detect subtle signs of osteoarthritis, often missed by trained radiologists, on an MRI scan taken years before symptoms even begin.READ MORE
Breaks in our DNA, which can occur spontaneously or result from irradiation or chemical insults, can lead to severe problems since they foster mutations and can ultimately lead to cancer. One of the main DNA repair pathways involves copying the missing information on the damaged DNA from the replicated sister chromatid. For this to occur, the two DNA molecules of sister chromatids need to come close together at the exact same genomic position. The team around Daniel Gerlich developed a method that solves this problem.READ MORE
University of Alabama at Birmingham researchers, led by Shahid Mukhtar, Ph.D., associate professor of biology in the UAB College of Arts and Sciences, have now built an interactome that includes the lung-epithelial cell host interactome integrated with a SARS-CoV-2 interactome.READ MORE
Researchers at the University of Helsinki have developed a technique in which a computer models visual perception by monitoring human brain signals. In a way, it is as if the computer tries to imagine what a human is thinking about. As a result of this imagining, the computer is able to produce entirely new information, such as fictional images that were never before seen.
In a new paper published in the Journal of Research in Science Teaching, researchers took a closer look at a coding camp for middle school girls and found that nuanced interactions between teachers and campers as well as among the girls themselves impacted how girls viewed themselves as coders.
HSE University researchers have confirmed that the level of phonological processing skills in children can impact their ability to master reading.READ MORE
Artificial intelligence (AI) experts at the University of Massachusetts Amherst and the Baylor College of Medicine report that they have successfully addressed what they call a "major, long-standing obstacle to increasing AI capabilities" by drawing inspiration from a human brain memory mechanism known as "replay."
Scientists have created new mathematical tools that allow scientists to search the vast collection of DNA snippets and uncover whether there are either missing pieces or duplicates. These algorithms, dubbed HATCHet and CHISEL, could help to improve diagnosis and treatment.READ MORE
Artificial intelligence researchers at North Carolina State University have improved the performance of deep neural networks by combining feature normalization and feature attention modules into a single module that they call attentive normalization (AN).READ MORE
Initial findings reported by the Arizona COVID-19 Genomics Union (ACGU) suggest that following Arizona’s first reported case of COVID-19 in late January, the state experienced no cases that went undetected and was COVID-free until at least 11 distinct incursions occurred between mid-February and early April.READ MORE