A retrospective cohort study found that an electrocardiogram-based machine-learning model predicted left atrial appendage thrombus in first-diagnosed non-valvular atrial fibrillation...

Machine learning models identified baseline clinical features and geographic residency as key real-world predictors of mepolizumab response in severe asthma...

Researchers have developed a minimally intrusive reduced order modeling technique that pairs machine learning with proper orthogonal decomposition to accurately...

Researchers developed an interpretable CatBoost machine learning model that explains 79 percent of crash rate variance across Serbia's primary rural...

Evaluating multi-country records from 2000 to 2024 revealed that machine-learning algorithms effectively predicted future national malaria risk within represented countries...

Researchers evaluated hierarchical and flat machine learning models, finding a two-stage approach cut memory use while exceeding 99 percent detection...

A study across Taiwan demonstrates that ensemble machine learning models incorporating typhoon track directions accurately predict the spatial distribution of...

Researchers have developed and externally validated an interpretable machine learning model that accurately estimates prevalent metabolic dysfunction-associated steatotic liver disease...

Researchers combining bioinformatics and machine learning have identified four metabolic and immune biomarker candidates in Helicobacter pylori infection, validating significant...

A thirty-five-year satellite analysis reveals that open-cast coal mining at South Africa's Grootegeluk mine has driven substantial native vegetation loss...