Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

Background: Cost-related prescription nonadherence is a prominent barrier that may affect health outcomes in Black ...

Introduction The impact of stunting, thinness and obesity on depression and anxiety during challenging times, such as ...

Extended educational sessions that offer attendees the opportunity to learn research methods and techniques from prominent ...

A new study has revealed that there is a causal relationship between increased air pollution and a rise in outpatient visits for chronic rhinitis. Beyond mere association, the analysis provides robust ...

Completed Successful FDA End-of-Phase 2 Meeting Following Positive Nebokitug Phase 2 SPRING Trial Results in Primary Sclerosing Cholangitis (PSC)─ ─Achieved Alignment with FDA on Clear and Efficient P ...

Objective The aim of this study was to assess the epidemiological and clinical characteristics of herpes zoster (HZ) and to ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

Introduction Climate-sensitive mortality in rapidly urbanising tropical Africa is poorly characterised, and how pandemics ...