A new "gold standard" for soil analysis and microplastic extraction has been developed at the University of New England (UNE) ...

Metabolic dysfunction-associated steatotic liver disease (MASLD) is an independent risk factor for cardiovascular disease (CVD). While gut bacteria ...

Generative AI can augment chemometrics by automating curation, connecting analytical outputs to textual knowledge, and improving interpretability for complex multivariate datasets.

Statistical analysis is essential in research. As modern production processes evolve, the increasing volume of data needing processing has demanded techniques like multivariate analysis for ...

Objective This study aimed to investigate how knee extensor and flexor strength change over time after anterior cruciate ligament reconstruction (ACLR). Design Systematic review with longitudinal meta ...

Managing irregular multivariate time series (IMTS) data is a significant challenge due to inherent irregularities and missing values. Recent advancements have utilized graph neural networks (GNNs) to ...

Genome-Wide Association Studies (GWAS) have transformed human genetics by identifying thousands of loci associated with complex traits and diseases. Yet, individual GWAS are often underpowered, and ...

Welcome to the 14th Cochrane Methods report compiled by the Central Executive Team to provide an overview of the key methodological activities in Cochrane for 2024–2025. The report highlights the ...

The biopharmaceutical industry must navigate a complex ecosystem in which therapy innovation is linked intrinsically to stringent quality standards and regulatory mandates. Raman spectroscopy has ...