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

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

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 ...

This important study describes long-range serial dependence of performance on a visual texture discrimination training task that manipulated conditions to induce differing degrees of location transfer ...

AI writing tools are now part of daily life. Students use them for essays. Professionals use them for emails. Marketers use them for blog drafts. Many ...

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 ...

Sleep is one of medicine's underused data streams. Clinically, disturbed sleep has often been treated as a symptom of a disorder, but sleep is also a physiological state in which brain, cardiac, ...

Constructing a Model for Identifying Young Educational Leadership Talent in Local Universities: A Differentiated Career Pathway Perspective Local universities have long operated under resource ...

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 ...