Among adolescent girls with concussion, greater initial emotional symptom severity, reflected in higher anxiety, depression, and sleep disturbance scores, was associated with a higher likelihood of ...

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 ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

Sepsis ranks among the deadliest illnesses a child can face. It’s an infection that spirals out of control, causing organ ...

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

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 ...

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

The EnABLE Social Inclusion Framework for Results-Based Climate Finance Initiatives was devised as a key input into the Social Inclusion Strategy and Action Plan of the Enhancing Access to Benefits ...

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

The presence of long COVID symptoms after infection with SARS-CoV-2 is strongly associated with the development of ...