Objectives to describe the evolution of anxiety during the COVID-19 pandemic in France and to assess whether it differed according to pre-existing alcohol misuse. Design A prospective longitudinal ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

A new study reveals that pathology AI models for cancer diagnosis perform unequally across demographic groups. The researchers identified three explanations for the bias and developed a tool that ...

Abstract: The shift between the training and testing distributions is commonly due to sample selection bias, a type of bias caused by non-random sampling of examples to be included in the training set ...

Objective: People often have their decisions influenced by rare outcomes, such as buying a lottery and believing they will win, or not buying a product because of a few negative reviews. Previous ...

Version of Record: This is the final version of the article. The paper by Xie et al. investigates the micro-evolutionary dynamics of sex-biased gene expression across somatic and gonadal tissues in ...

Sampling (or sample) bias is a widespread concern in scientific research, across several disciplines. The concept of sampling bias originated in statistical studies. The consequence of a biased sample ...

This video provides a clear and concise explanation of confirmation bias, a cognitive tendency where individuals favor information that aligns with their existing beliefs while disregarding ...

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...