Learn how mean-variance analysis helps investors weigh risk vs. return to optimize portfolio strategies, aligning investments ...

Analyses demonstrate consistent positive signals across endpoints in AKI patientsFindings derived from post hoc analysis of 101 patients also ...

Smart pharma is becoming reality. At PHARMAP 2026, industry leaders discussed the technologies transforming pharmaceutical ...

NVG-291 demonstrated statistically significant improvement in gait quality (p=0.0197), based on a Global Statistical Test integrating the established hallmarks of genuine neural recovery into a ...

Analyses demonstrate consistent positive signals across endpoints in AKI patientsFindings derived from post hoc analysis of 101 patients also experiencing respiratory distressNew data and analysis to ...

Archetypal Analysis is a matrix-factorisation approach that identifies a small set of extreme representative points, or archetypes, at the periphery of a multivariate dataset’s convex hull. Each data ...

Abstract: This article introduces a novel extension of the multivariate variational mode decomposition (MVMD) method, termed fuzzy MVMD (FMVMD), designed to enhance alignment information extraction.

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 ...

This course aims to provide an introduction to both supervised and unsupervised methodologies for prediction modelling with a focus on biomedical applications, molecular epidemiology and personalised ...

Abstract: The traditional multivariate signal decomposition algorithm presumes that the multichannel signal has co-frequency components. However, in real signals, the frequencies of these components ...