Through trend analyses, this surveillance highlighted both the emergence and decline of AMR across diverse bacterial pathogens, helping inform which antibiotics may remain appropriate as first-line ...

Introduction In 2021, globally, cardiometabolic diseases (CMDs) accounted for 35% of the 1.73 billion disability-adjusted life years (DALYs) attributed to non-communicable diseases. The Healthy Life ...

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

Background Despite progress in reducing global maternal mortality in recent decades, low- and lower-middle-income countries ...

Background Difference-in-differences is a method commonly used in population health research. It is based on assumptions that ...

1 School of Biomedical Sciences, University of Ulster, Coleraine, UK 2 University of Ulster, Coleraine, UK Background There is a paucity of data describing the ...

Introduction The current COVID-19 pandemic has impacted the entire world with increasing morbidity and mortality and has resulted in serious economic and social consequences. Assessing the burden of ...

Code for our SIGKDD'25 paper: "BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models". The advent of universal time series forecasting models has revolutionized zero-shot ...

We present a Monte Carlo framework for simulating the nucleation of biomolecular condensates in the grand canonical ensemble, which overcomes the limitations of fixed particle number and allows direct ...

Abstract: Computer clusters with the shared-nothing architecture are the major computing platforms for big data processing and analysis. In cluster computing, data partitioning and sampling are two ...

bSchool of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, SE1 9RT, UK cDivision of Cancer Epidemiology and Genetics, National Cancer ...

Abstract: Compressive data gathering (CDG) has been recognized as a promising technique to collect sensory data in wireless sensor networks (WSNs) with reduced energy cost and better traffic load ...