A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

In today’s ACT Brief, we highlight how Bayesian methods are gaining operational traction, a major patient advocacy merger is streamlining clinical trial access, and machine learning is reshaping trial ...

Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

Abstract: Detecting credit card fraud is a critical challenge in the modern financial landscape, where robust and efficient solutions are essential to mitigate losses and safeguard consumers. This ...

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...