Antimicrobial resistance continues to limit the number of effective antimicrobials to treat bacterial infections. The development of antimicrobials with unique mechanisms of action is crucial to overcoming this threat. By employing various methods of... read more
International journal of medical informatics
Apr 14, 2026
OBJECTIVE: This study contributes to the limited literature on applying machine learning (ML) to telemonitoring data for timely decision support systems (DSS). We propose an end-to-end DSS framework to enable clinicians to intervene proactively by ge... read more
Food research international (Ottawa, Ont.)
Apr 14, 2026
With escalating demands for food quality and safety, traditional packaging technologies grapple with challenges in meeting the dual requirements of efficient preservation and real-time monitoring. Due to advantages such as controllable excitation, no... read more
Accurate and rapid prediction of water levels in urban drainage systems remains a key challenge due to sparse sensor coverage, complex hydraulic interactions, and uncertain rainfall inputs. Traditional hydrodynamic models often rely on detailed rainf... read more
BACKGROUND: Prognostic information is essential for decision-making in breast cancer management. In recent years, trials and clinical practice have emphasized genomic prognostication tools, despite clinicopathological methods being more affordable an... read more
BACKGROUND: Technology-facilitated sexual violence and abuse (TFSVA) encompasses sexual harms perpetrated through digital means. Rapid developments in this field pose challenges in precisely defining and measuring TFSVA. Consequently, existing measur... read more
The Urgent and Emergency Care system generates a wealth of clinical information, but our ability to harness this for public health planning and to address health inequalities is constrained by systemic data quality issues. Modern natural language pro... read more
OBJECTIVES: Artificial intelligence (AI)-driven chatbots have been rapidly adopted across research, education, business, marketing and medicine. Most interactions, however, come from non-experts using chatbots like search engines, including for every... read more
AIMS: To identify body temperature dynamic patterns and develop a machine learning model for the early detection of nosocomial infections. DESIGN: A retrospective and observational study of patients hospitalised in the haematology department of the C... read more
The excess Gibbs energy plays a central role in chemical engineering and chemistry, providing a basis for modeling thermodynamic properties of liquid mixtures. Predicting the excess Gibbs energy of multi-component mixtures solely from molecular struc... read more
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