Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

A recent study on the development and validation of an AI-based framework for first-trimester preeclampsia risk assessment ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

By Priyanjana Pramanik, MSc. New national data suggest environmental concern may influence dietary identity, offering insight into how climate priorities intersect with food choices in the United ...

Data-driven analysis shows outpatient stem-cell mobilisation can reduce hospital bed use while maintaining safety, supported ...

Background Current diagnosis of antiphospholipid syndrome (APS) relies on antiphospholipid antibodies (aPL) testing, but false-positive aPL results and asymptomatic aPL carriers pose significant ...

Wulandari, Rastafael, and Hwihanus (2024) conducted a meta-analysis of international studies and found that implementing ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Introduction Ischaemic heart disease (IHD) remains a leading cause of morbidity and mortality worldwide and poses an ...

Objective This study focused on the preferences for psychological assistance and associated factors among Chinese healthcare workers (HCWs) during the COVID-19 pandemic. Design Cross-sectional ...

Objectives To describe the incidence, presentation and long-term health outcomes of suicidal thoughts and behaviours (STBs) in children aged 12 years or under. Methods This population-based study ...