Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...
Think of artificial intelligence (AI) as a forensic magnifying glass... here is how it works. In the simplest terms, ...
Every function in a cell is associated with a particular protein or group of proteins, typically in a well-defined ...
Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy's SLAC National Accelerator Laboratory ...
Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...
Abstract: The analysis of nodes interaction is crucial to evaluate the dynamics of complex networks, as well as the community structure of social networks. Particularly, the corresponding results can ...
Several law enforcement agencies have used or are currently using artificial intelligence to process data on how crime varies geographically, looking at trends to inform where they police. Beyond ...
Sparse canonical correlation analysis (sCCA) has been a useful approach for integrating different high-dimensional datasets by finding a subset of correlated features that explain the most correlation ...
Objectives To assess the ability of a previously trained deep-learning algorithm to identify the presence of inflammation on MRI of sacroiliac joints (SIJ) in a large external validation set of ...
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