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 ...
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 ...
Objectives To assess the outcomes of patients undergoing open abdominal surgery at a National Referral Hospital in Tanzania. Design A prospective, observational, single-arm cohort study. Setting Dar ...
A team of international scientists and risk assessment experts has developed a foundational blueprint for an innovative ...
Background Sociodemographic inequalities impact patients with non-small cell lung cancer (NSCLC). Advances in novel ...
Risk-based strategies are superior to the U.S. Preventive Services Task Force (USPSTF) criteria for optimizing efficiency and ...
Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...
The BERT model achieved the highest impact factor tertile classification accuracy of 75.0%, followed by an accuracy of 71.6% for XGBoost and 65.4% for logistic regression. Similarly, BERT achieved the ...
A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
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