Introduction to Graph Neural Networks for Machine Learning Engineers

Digital health tools and point solutions—pitfalls in population health program measurement

Digital health tools are generally poorly regulated and often lack strong research evidence, posing challenges for purchasers of point solutions such as employer groups and

Crisis support teams’ technological openness and learning attitudes toward the AI based virtual patient system crisis support VR

BackgroundAgainst the backdrop of escalating global humanitarian crises, innovative didactic simulations are becoming increasingly important. A promising alternative to traditional classroom-based didactics for learning psychological

Ensemble based in transfer learning for cytological classification in pleural fluid

Pleural effusion cytology is critical for diagnosing benign and malignant conditions, yet manual interpretation remains time-consuming and prone to subjectivity. The increasing burden of malignant

Advancing women’s health through equity in quantitative sciences: promoting sex- and gender-based modeling in clinical trials and real-world studies

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Trauma-informed conversational agents for mental health: understanding user perspectives and experiences

IntroductionMental health conversational agents (MHCAs) offer scalable, accessible psychological support yet raise concerns about safety and appropriateness for trauma, exposed users. While trauma-informed care (TIC)