David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...
Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Through trend analyses, this surveillance highlighted both the emergence and decline of AMR across diverse bacterial pathogens, helping inform which antibiotics may remain appropriate as first-line ...
Objectives To evaluate knowledge, attitudes and practices towards routine vaccination in the Lebanese population in the post-COVID-19 period, and to examine differences between COVID-19 vaccinated and ...
The Decision & Action Layer translates fused predictions into concrete actions. The Decision Engine performs inference, ...
Blood-based circular RNAs showed strong potential for identifying biomarker-confirmed Alzheimer’s disease and predicting progression to symptomatic disease. When combined with pTau217, the circRNA ...
Five years after the Covid-19 pandemic exposed major weaknesses, investments in regional fulfillment, last-mile delivery and ...
Chrome has been automatically downloading Gemini Nano (a 4GB AI model) to users' computers without notification or an easy way to prevent it. Alex Valdes from Bellevue, Washington has been pumping ...
Objective To investigate the association between attention-deficit/hyperactivity disorder (ADHD) and cardiometabolic risk profile at the time of type 2 diabetes (T2D) diagnosis and examine ...
Background The widespread mobilisation to improve maternal health over recent decades has led to increased prenatal ...
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