In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term ...

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

It was always naive to believe that Labour, once back in government, would give up on its ambition to restore Britain’s ...

Machine learning algorithms may accurately predict inborn errors of immunity (IEI) in children with persistently low serum IgE.

The evidence supporting the conclusions of this work is solid, and ANTIPODE presents an updated methodological approach to determining how gene expression at the cell-type level has evolved. Thus, ...

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...

Background Pharmacotherapy combinations have been shown to improve survival and reduce hospitalisations in adults with ...

Incrementality testing in Google Ads is suddenly within reach for far more advertisers than before. Google has lowered the barriers to running these tests, making lift measurement possible even ...

Abstract: Identifying social bots has become a critical challenge due to their significant influence on social media ecosystems. Despite advancements in detection methods, most topology-based ...

1 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 2 Department of Computer Science, Rutgers University, New Brunswick, USA. Language identification is a fundamental ...

Sarcopenia has a high incidence among patients undergoing maintenance hemodialysis (MHD), significantly increasing the risk of falls, fractures, and mortality. Traditional diagnostic methods, however, ...