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 ...
Objective Unlike several other fields of healthcare, little is known about the size of ‘therapist effects’ on patient ...
Background Socioeconomic deprivation has been associated with adverse outcomes after aortic surgery, although evidence ...
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 ...
Researchers developed a washable textile-based IDC strain sensor that tracked yoga-inspired movements with 94.4% record-level ...
The Decision & Action Layer translates fused predictions into concrete actions. The Decision Engine performs inference, ...
Anthropic announced Claude Fable 5, a Mythos-class model that will be available to its enterprise customers and paid subscribers. The company unveiled Mythos in April and has limited the rollout ...
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 ...
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