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 ...

A post hoc analysis of the STARMEN trial found that a combination of three early biomarkers can predict 2-year remission in ...

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

Greater baseline disease pruritus and quality of life impairment are associated with higher rates of super response to dupilumab in patients with AD.

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

Machine learning models estimated the probability of developing sepsis in children admitted to the emergency department.