Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

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 ...

Researchers developed a washable textile-based IDC strain sensor that tracked yoga-inspired movements with 94.4% record-level ...

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — ...

A team of international scientists and risk assessment experts has developed a foundational blueprint for an innovative ...

High-fidelity brand assets are no longer impossible. Learn how Monks uses raw CAD data ingestion to achieve flawless AI product accuracy for brands.

Background Sociodemographic inequalities impact patients with non-small cell lung cancer (NSCLC). Advances in novel ...