A team of scientists from Geisinger and Tempus have found that artificial intelligence can predict risk of new atrial fibrillation (AF) and AF-related stroke.
A researcher from Kanazawa University devised a way to speed up a fundamental task in computer vision and graphics known as non-rigid point set registration. Unlike previous registration techniques, the proposed method is computationally efficient even for large data sets. Moreover, the computing times for this method are shorter than those for a state-of-the-art approach. The results of this study could have implications for various fields, such as autonomous driving, medical imaging, and robotic manipulation.
New research shows that the more animals know about each other, the more they may be able to optimize their aggression.
Researchers have developed a method based on artificial intelligence that rapidly identifies currently available medications that may treat Alzheimer's disease. The method also reveals potential new treatment targets for the disease.
A new study by a team of researchers at UL has identified the underlying tactics used by the top-ranked competitors among the seven million players of Fantasy Premier League (FPL), the official - and world's largest - fantasy football game of the English Premier League.
How best to evaluate the performance of a group testing strategy for the SARS-CoV-2 virus? French scientist have developed a model that evaluates the efficiency of such tests. Their study accounts for dilution effect, in an effort to assess the number of potential false negatives based on pooled sample size, to optimize group size thereby minimizing epidemic risk, and finally to more accurately determine the number of contaminated individuals within a given population.
Researchers have proposed a new quantitative strategy for pooling COVID-19 tests in order to monitor spread and detect outbreaks early within closed communities, such as nursing homes or universities. Vincent Brault of Université Grenoble Alpes in Grenoble, France, and colleagues present this method in the open-access journal PLOS Computational Biology.
Existing gene drive technologies could be combined to help control the invasive grey squirrel population in the UK with little risk to other populations, according to a modelling study published in Scientific Reports.
In "Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images," researchers at the NYU Tandon School of Engineering led by Siddharth Garg, professor of electrical and computer engineering, explored whether private data could still be recovered from images that had been "sanitized" by such deep-learning discriminators as privacy protecting GANs (PP-GANs).
MIT researchers have simulated a soft-bodied robot that turns rigid on demand. The advance may help broaden robots' range of tasks and allow for safe interactions with people, including in patient care settings.