Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an ...
A new active-inference account reframes attachment styles as calibrated models of the world—with consequences for how we ...
Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...
Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...
The global community has faced substantial threats from infectious diseases in recent decades. As a crucial element of epidemic surveillance systems, infectious disease prediction technology plays an ...
Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...
Honeywell’s HALO machine learning system predicted pressure disturbances and cycle delays with 12-minute notice, enabling operators to take preventive action before shutdowns occurred. The ...
During WEFTEC, Dave Rutowski explained how WIMS Process manager leverages industry-standard models to provide tailored dashboards and predictive insights that help wastewater facilities balance ...
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