Can Machine Learning Help Prevent Local Crime? Public safety has always been one of society’s most urgent priorities. From neighborhood patrols to national security strategies, law enforcement constantly seeks tools to anticipate and prevent crime before it occurs.

Discover how machine learning shows high accuracy for HIV prediction but needs better validation before use in STI clinical practice.

The increased rate of data collection relating to athlete load has led to interest in machine learning (ML) approaches for sports data analysis, including injury risk prediction. Prior reviews have examined the application of ML for both performance analysis and injury risk prediction, although no charting of study characteristics were conducted.

Machine learning (ML) is not only reshaping the tech industry but also making significant strides in environmental studies, particularly in understanding glacier erosion. This innovative intersection of software and environment is providing groundbreaking insights into the way glaciers shape our planet.

Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior cardiovascular diseases (CVDs) to facilitate early intervention. This study aimed to develop and validate an AF prediction model using machine-learning methods based on routine biomarkers in middle-aged individuals without overt CVD.

In the quest for sustainable and efficient water treatment solutions, a new study titled "Enhanced Machine Learning Prediction of Biochar Adsorption for Dyes: Parameter Optimization and Experimental Validation" is making significant strides.

Machine learning predictions and system updates in real-time Huyen's analysis refers to real-time machine learning models and systems on 2 levels.