Drug-resistant tuberculosis (DR-TB) heavily contributes to the global challenge of antimicrobial resistance (AMR), resulting ...

Introduction The COVID-19 pandemic is expected to have impacted many drivers of antimicrobial resistance (AMR) and compounded ...

Marine litter is a serious environmental problem worldwide. Reducing it would require implementing a global monitoring system, agreeing on the use of common methods and protocols for data collection, ...

Framework, a methodology combining neuromarketing principles with intuitive behavioural analysis to support e-commerce and SaaS brands navigating a rapidly shifting digital environment. Amsterdam, ...

Single-cell genome sequencing techniques have recently emerged, enabling high-throughput transcriptome profiling at the level of individual cells. Among ...

Time-to-event is a powerful statistical approach increasingly used in sports science and medicine to examine time-to-event outcomes such as time to sports injury occurrence, career duration and ...

Honouring Indigenous perspectives in data-sharing arrangements is an ethical obligation. In perinatal settings, upholding ...

Introduction Alcohol is consumed by an estimated 137.4 million people in the USA 12 years of age and older and, as a result, is estimated to have caused about 140 thousand deaths among people 20 to 64 ...

High-throughput technologies have produced vast multi-omics datasets (genomics, transcriptomics, epigenomics, proteomics) from large cancer initiatives such ...

For years, technologists have promised that fully autonomous AI Agents were just around the corner, always one release away, always about to ...

This study presents a valuable tool named TSvelo, a computational framework for RNA velocity inference that models transcriptional regulation and gene-specific splicing. The evidence supporting the ...

Research combining deep learning methodologies with Analytic Hierarchy Process establishes comprehensive frameworks for data security risk ...