In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

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 ...

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

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 ...

On Nov. 7, 2017, the American social-media platform Reddit shut down r/Incels, an online forum with more than 40,000 members. This was in line with a new policy the company brought in, banning content ...

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

Older Canadian adults whose physicians prescribe first-generation antihistamines in the hospital are more likely to experience delirium.

Medical device makers use AI to turn EU regulatory challenges into competitive advantages via supply chain optimization.