BACKGROUND: Nursing interns face early clinical distress; chatbot-based mental health tools show promise, although evidence of their feasibility and educational value remains insufficient. PURPOSE: To evaluate the application feasibility and effectiv... read more
AIMS: Early detection of cardiovascular disease and implementation of evidence-based treatments can reduce cardiovascular morbidity and mortality. Medical algorithms and decision-making tools provide a compelling option for screening, risk prediction... read more
Oral surgery, oral medicine, oral pathology and oral radiology
Jan 15, 2026
The training of clinicians in various specialty disciplines continues to be the focus of twenty-first century dialogue amongst medical and dental educators. Active learning can be variably defined, but common descriptions emphasize mutual engagement ... read more
Food research international (Ottawa, Ont.)
Jan 15, 2026
Northeast India is home to an incredible variety of ethnic fermented foods, shaped over centuries by cultural wisdom and adaptation to the local environment. From bamboo shoots, soybeans, and rice to fish, dairy, vegetables, and traditional beverages... read more
The microstructure determines properties paradigm applies well to crystalline materials but struggles with amorphous systems. While researchers have long sought to link amorphous structures to macroscopic properties, traditional analyses focus on geo... read more
Food fraud through false declarations of geographical origin poses major economic and regulatory challenges, particularly for commodities subject to trade restrictions or premium provenance labeling. Fresh garlic (Allium sativum L.), a globally trade... read more
Aging, the leading risk factor for numerous diseases, manifests through diverse structural and architectural changes in human tissues, providing an opportunity to quantify and interpret tissue-specific aging. To address this, we present a comprehensi... read more
ObjectiveOur goal was to create open-source software for closed-loop EEG-TMS that allows researchers to rapidly prototype and develop novel stimulation paradigms in a high-level programming language. This addresses the limitations of current solution... read more
Deep visual proteomics (DVP) is an emerging approach for cell type-specific and spatially resolved proteomics. However, its broad adoption has been constrained by the lack of an open-source end-to-end workflow in a community-driven ecosystem. Here, w... read more
Accurately predicting how amino acid substitutions alter protein function is a central challenge in biology, with applications from interpreting disease variants to engineering vaccines and therapeutic proteins. We introduce HERMES, a family of fast,... read more
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