Econometrician Explained: Roles, Methods, and Economic Impact

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
BMJ Open

Assessment of the effectiveness and safety of virtual reality-based telerehabilitation in improving motor function, balance and gait in patients with Parkinson’s disease: a ...

Introduction Virtual reality-based telerehabilitation (VR-TR) combines gamified exercises with remote supervision for people with Parkinson’s disease (PD). Its effectiveness and safety in PD remain ...
Coingape

Binance Tops CME in Bitcoin Futures Open Interest Amid Institutional Selloffs

Binance has become the largest platform for Bitcoin futures open interest, overtaking CME. This shift happened as ...
Frontiers

Resting-state fMRI graph theory analysis for predicting selective serotonin reuptake inhibitors treatment response in adolescent major depressive disorder

1 Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China 2 Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, ...
Healio

Risk Analysis

Identifying risk factors enables physicians to implement targeted intervention strategies and preventive measures, aiming to reduce the disease burden and minimize the risk of relapse. Multiple ...
BMJ

Exercise based cardiac rehabilitation for atrial fibrillation: Cochrane systematic review, meta-analysis, meta-regression and trial sequential analysis

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...
Frontiers

Uncovering abnormal gray and white matter connectivity patterns in Alzheimer’s disease spectrum: a dynamic graph theory analysis for early detection

Background: Alzheimer’s disease (AD) requires early intervention at preclinical stages like subjective memory complaints (SMC). Traditional static brain network analyses lack sensitivity to detect ...