This Research Topic is part of the article collection series:<br/><a href=" Multi-omics and Computational Biology in ...

In this video, we explore 9 of the best AI tools designed for analysts, each excelling in specific analytical tasks: 1.

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 ...

In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although ...

Background The Swedish Targeted Health Dialogue (THD) is a widely implemented, individual-focused intervention involving ...

This manuscript makes a valuable contribution to the concept of fragility of meta-analyses via the so-called 'ellipse of insignificance for meta-analyses' (EOIMETA). The strength of evidence is solid, ...

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 ...

Digital assets, which include cryptocurrencies, stablecoins, non-fungible tokens, and tokenized securities, are used in ...

Although some outcomes showed small to medium effect sizes, these results must be interpreted cautiously given the presence ...

In this interview, Kalpana Barnes highlights how new approach methodologies are addressing the gaps in drug discovery studies ...