A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

Female sex at birth, age of 65 years or older, and 32 specific medications were identified as factors for drug-related candidiasis.

Prenatal lead exposure was associated with a significantly increased risk for major depressive disorder (MDD) in adulthood, ...

The study’s AI-generated maps showed that the Locride area, located within the Aspromonte Geopark, faced the highest drought ...

Study links longer duration of mechanical ventilation, a common factor in RAS, as the independent predictor of PPCs, not the surgical technique.

A higher oxidative balance score (OBS), a composite indicator of pro- and antioxidant exposures, is associated with increased ...

Familial clustering was identified in primary hyperparathyroidism, as first-degree relatives were at higher risk than control patients.

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...