Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that can accurately classify brain tumors using genetic ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

Background Gut microbiota dysbiosis is linked to autism spectrum disorder (ASD) in children. However, the role of bacterial ...

The prevalence of waterpipe smoking (WPS) is increasingly recognised as a growing global public health concern. Available studies show that WPS exposes users to toxicants at levels similar to or ...

Arousal fluctuates continuously during wakefulness, yet how these moment-to-moment variations shape large-scale functional connectivity (FC) remains unclear. Here, we combined 7T fMRI with concurrent ...

Objectives Studies on ageing trajectories typically foreground intrinsic capacities and focus on frailty and mortality outcomes. Instead, research capturing aspects of people’s living environment ...

Heat-related ED visits for extreme heat were generally higher in early summer than in late summer, suggesting the necessity to consider temporal changes in heat risk when developing nuanced and ...