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

Background Approximately one in three patients with acute ischemic stroke (AIS) suffer from a premorbid disability prior to ...

By Priyanjana Pramanik, MSc. New national data suggest environmental concern may influence dietary identity, offering insight ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Skin manifestations are common in patients with SLE. A recent study reported increased site-specific recurrence of cutaneous ...

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

The Law of Mass action predicts that all adverse drug reactions are related to the concentration of the drug at the site of action, and therefore to the administered dose. In other words, there is no ...

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

Guzmán, P. and Halpern, M. (2026) Effects of Treatment Delays on Colorectal Cancer Survival. Journal of Cancer Therapy, 17, ...

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, ...

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 ...

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 ...