We investigate whether temporal embedding models trained on longitudinal electronic health records can learn clinically meaningful representations without compromising predictive performance, and how architectural choices affect embedding quality. Mo... read more
Rubrics are essential for evaluating open-ended LLM responses, especially in safety-critical domains such as healthcare. However, creating high-quality and domain-specific rubrics typically requires significant human expertise time and development co... read more
This paper presents a feasibility study demonstrating that quantum machine learning (QML) algorithms achieve competitive performance on real-world medical imaging despite operating under severe constraints. We evaluate Equilibrium Propagation (EP), a... read more
Food research international (Ottawa, Ont.)
Jan 26, 2026
Detection of sub-lethally injured pathogens is critical for improving food safety, particularly given regulatory recommendations that microbiological method validation include 50-80% injured cells. In food matrices like low moisture foods (LMFs), inj... read more
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Jan 26, 2026
Bombyx batryticatus, an important medicinal animal material in the traditional medicinal systems of China, Japan, and Korea, is in high demand due to its unique medicinal value. However, the widespread circulation of counterfeit Bombyx batryticatus (... read more
Physics-Informed Neural Networks (PINNs) represent a hybrid modeling paradigm that embeds governing physical laws, expressed as partial differential equations (PDEs), directly into neural network training. This integration enables models to respect f... read more
Early caregiving relationships shape the coordination of stress and immune systems, yet their biological correlates in early infancy remain insufficiently understood. This study examined whether attachment relationships are associated with mucosal im... read more
The intricate interplay between individualized differences in gut microbiota and host health has garnered significant attention in contemporary biomedical research. This review elucidates the complex mechanisms governing the development of personaliz... read more
This article examines the joint cognitive systems framework as a foundation for understanding human-machine collaboration. Using Meleis's theory evaluation model, we describe its origins, principles, and applications and then critique its strengths a... read more
CRISPR-Cas systems are transformative tools for gene editing that can be tuned or controlled by anti-CRISPRs (Acrs)-phage-derived inhibitors that regulate CRISPR-Cas activity. However, Acrs that can inhibit biotechnologically relevant CRISPR systems ... read more
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