Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

Image courtesy by QUE.com The University of North Texas (UNT) is stepping into the future with a new undergraduate major in ...

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 ...

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

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 ...

Overview:Practical projects can help you showcase technical skill, programming knowledge, and business awareness during the hiring process.Designing end-to-end ...

The University of North Texas (UNT) is stepping into the future with a new undergraduate major in Artificial Intelligence (AI), ...

The subcontract agreement awarded to Safe Pro establishes a pathway for delivering AI-powered edge processing systems designed for government use. According to the company’s announcement, Safe Pro ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

Stearns and Poletti present a technically impressive study that aims to uncover a deeper understanding of microsaccade function: their role in perceptual modulation and the associated temporal ...