AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...
Generative AI tools have made multimodal content creation accessible to teachers, sharply reducing the time and expertise needed to produce it—a shift with significant pedagogical implications. This ...
Abstract: Accurate drug–drug interaction (DDI) prediction is crucial for optimizing the efficacy of combination therapies and minimizing adverse effects. Most existing methods rely on single features ...
In this post, we share the motivations, design choices, experiments, and learnings that informed its development, as well as an evaluation of the model’s performance and guidance on how to use it. Our ...
ABSTRACT: This study examines the influence mechanism of cover design in English translations of Chinese children’s picture books on cultural transmission from a multimodal metaphor perspective. By ...
Integrating artificial intelligence (AI) with healthcare data is rapidly transforming medical diagnostics and driving progress toward precision medicine. However, effectively leveraging multimodal ...
Abstract: This study explores the application and effectiveness of Eye Movement Modeling Examples (EMME) in learning Standard Operating Procedures (SOP) in the manufacturing industry, where improving ...
Artificial intelligence models can secretly transmit dangerous inclinations to one another like a contagion, a recent study found. Limited time: Save 25% on NBC News subscription Get exclusive ...
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