Professor Klaus Nordhausen develops modern multivariate statistical methods to analyze high-dimensional and large datasets in different fields.

DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

Vancouver, B.C. – Jan 8, 2026 ‐ TheNewswire - Forty Pillars Mining Corp. (CSE: PLLR) (the “Company” or “Forty Pillars”) is ...

By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

A new study published in the journal of BMC Surgery found a combination of high-titer pancreatic enzyme and zinc ...

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.

Although the vast majority of physicians using an artificial intelligence (AI) scribe perceived a reduction in documentation time, those with the most actual time savings had higher relative baseline ...

DNA analysis of cultural artifacts shows diverse biological profiles, but contamination and mixed signals complicate ...