Understanding Multivariate Models: Forecasting Investment Outcomes

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...
Open Heart

Sex differences in the burden of multiple long-term conditions among Japanese individuals with heart failure

Background Multiple long-term conditions (MLTCs) are common among individuals with heart failure (HF); however, the influence ...
RMD Open

Global social media use among rheumatology professionals: the EULAR SoMeR Study Group survey

Background/purpose Social media (SM) has become an indispensable tool in healthcare, providing platforms for networking and ...
BMJ Open

Development and validation of a risk prediction model for chronic kidney disease among adult hypertensive patients having follow-up at University of Gondar Comprehensive ...

Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...
BMJ Open

Risk factors for cancer among the working population in China: a cross-sectional analysis of baseline data from the WECAN project

Objective This study aims to assess the prevalence of cancer risk factors in China’s working population and provide evidence for formulating more targeted workplace cancer prevention strategies.

How do AI coding agents work? We look under the hood.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Gut

Twenty-four-week anti-PD-1 antibody regimen promoted HBsAg reduction and concurrently enhanced HBV-specific T cell responses in patients with chronic hepatitis B

Background PD-1 blockade has emerged as a promising approach for functional cure of chronic hepatitis B (CHB). Objective This study aimed to evaluate the safety profile of anti-PD-1 antibody (αPD-1), ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...