In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term economic fluctuations, especially in countries with limited access to ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

Introduction Osteoporosis and fragility fracture are more frequently found in systemic lupus erythematosus (SLE) patients than in normal population. This study aims to determine the risk factors in ...

Objectives Declining physical fitness, rising obesity and mental and behavioural diagnoses are growing public health issues in young adults. This study aimed to examine the associations between ...

Researchers used five prospective cohorts from the US and China to identify circulating gut microbiota-related metabolites ...

Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...

Background Endovascular therapy (EVT) is standard treatment for large vessel occlusion in patients with a National Institutes ...

Evidence is provided suggesting that aggregate neural activity at an early stage of visual processing (V1) can directly contribute to perceptual decisions in humans.

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Objective To assess the nutritional status and identify associated factors among children under 5 years residing in Ward 10 of Bhimdatta Municipality, Kanchanpur District, Sudurpashchim Province, ...

A new predictive model using common lab values demonstrated high accuracy in detecting MetALD-ALD in patients with obesity.