Food research international (Ottawa, Ont.)
Apr 16, 2026
This study systematically analyzed the dynamic mechanisms through which food texture regulates bolus formation by integrating food and bolus properties, dynamic sensory perception, and multimodal physiological monitoring. A fermented biscuit model wi... read more
Food research international (Ottawa, Ont.)
Apr 16, 2026
The adulteration of weight-loss dietary supplements with illegal additives poses significant risks to public health, it is necessary to develop sensitive and reliable analytical methods for their monitoring. A scoping review was conducted using PubMe... read more
Machine learning (ML) and artificial intelligence (AI) offer opportunity and risk in mass trauma response, disasters and crisis. This narrative review synthesizes material from our "AI to the Rescue" panel at the inaugural PreAct Mass Trauma conferen... read more
AlGaN/GaN high-electron-mobility transistors (HEMTs) combine surface charge coupling with excellent chemical stability, making them highly attractive for liquid-phase biosensing. However, when extended to array-level implementations, sensor-to-sensor... read more
European heart journal. Digital health
Apr 16, 2026
AIMS: We aimed to develop and evaluate fully automated artificial intelligence (AI) system for detection of mitral valve prolapse (MVP) and mitral regurgitation (MR) from echocardiographic studies. METHODS AND RESULTS: We used a dataset of 24 869 ech... read more
Journal of clinical and experimental hepatology
Apr 16, 2026
Liver transplantation is the definitive treatment for end-stage liver disease; however, postoperative acute kidney injury (AKI) affects 30%-70% of recipients and significantly worsens prognosis. The pathogenesis involves insufficient preoperative hep... read more
OBJECTIVE: Public willingness to accept medical artificial intelligence (AI) tools affect the potential real-world impact of these evolving technologies. We therefore developed and validated the Oxford Attitudes to Artificial Intelligence in Medicine... read more
Obtaining sufficient electroencephalography (EEG) signals for training deep neural networks (DNNs) in brain-computer interfaces (BCIs) is challenging due to individual differences in neural activity, which require large per-participant data to map si... read more
Bulletin of the World Health Organization
Apr 16, 2026
OBJECTIVE: To examine the coordination functions, decision-making processes and consensus-building strategies of World Health Organization (WHO) regional coordinators of Member States in Geneva within the WHO's federal governance structure. METHODS: ... read more
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