BACKGROUND: Plain language summaries (PLSs) are increasingly required in environmental health publications to improve public accessibility. Generative artificial intelligence (AI) systems such as large language models can automatically produce such s... read more
Foodborne pathogens present a major threat to global public health. However, conventional detection methods and equipment are often unsuitable for the on-site and timely monitoring of these pathogens. To overcome this critical limitation and establis... read more
Sugar crops, including but not limited to sugarcane, sugar beet, sweet sorghum and stevia, are major sources of sugar production in the world. However, conventional breeding approaches, limited by long breeding cycles, low efficiency and restricted c... read more
BACKGROUND: The maintenance and progression of pregnancy rely on immune homeostasis at the maternal-fetal interface. However, pregnancy complicated by autoimmune abnormalities can disrupt this balance and significantly increase the risk of adverse pr... read more
Purpose To quantify postimplementation concordance between a U.S. Food and Drug Administration-cleared artificial intelligence (AI) tool and AI-informed radiologists for pulmonary embolism (PE) detection on CT pulmonary angiography (CTPA), with real-... read more
Purpose To evaluate the performance of an artificial intelligence (AI) model for digital breast tomosynthesis (DBT) with and without prior screening examinations, using independent double reading by radiologists as the reference standard. Materials a... read more
Clinical child psychology and psychiatry
May 13, 2026
Dimitri A. Christakis and Lauren Hale's Handbook of Children and Screens (2025) examines the complex relationship between digital media use and children's cognitive, physical, mental, and social development. Drawing on interdisciplinary research from... read more
Journal of the American College of Cardiology
May 13, 2026
BACKGROUND: Scalable risk stratification for ischemic stroke remains an unmet need. OBJECTIVES: In this study, the authors sought to assess whether deep learning of 12-lead electrocardiograms (ECGs) can estimate longitudinal ischemic stroke risk and ... read more
The secretory pathway is a central and evolutionarily conserved feature of eukaryotic cells, responsible for protein and lipid trafficking, membrane biogenesis, signalling, and cellular homeostasis. Its complexity, dynamic behaviour, and nanoscale or... read more
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