Journal of medical engineering & technology
Feb 17, 2026
Prostate cancer is among the most diagnosed malignancies in men worldwide and a leading cause of cancer-related mortality. Early and accurate diagnosis is critical to improve patient outcomes and reduce the risks of overtreatment or missed detection.... read more
BACKGROUND: Automated approaches to cognitive impairment screening may soon achieve sufficient levels of accuracy for clinical implementation but they present potentially serious ethical challenges. Overcoming such challenges for successful implement... read more
BACKGROUND: Smartphone applications that use artificial intelligence (AI) for skin cancer diagnosis may assist in early detection. However, prospective studies assessing real-world performance remain scarce. OBJECTIVES: This independent prospective s... read more
Accurate identification of foodborne microorganisms is a key priority for food safety. Focused on the common principles of microbial metabolism, a metabolic-assisted chemical nose strategy was developed in this work. Consequently, the rapid, low-cost... read more
OBJECTIVES: Predicting seizure recurrence following a first unprovoked seizure (FUS) remains a significant clinical challenge, especially when routine clinical magnetic resonance imaging (MRI) and EEG do not reveal abnormalities diagnostic of epileps... read more
OBJECTIVES: Electronic Health Records (EHRs) contain a wealth of unstructured patient data that can be leveraged using Artificial Intelligence (AI). This study aimed to develop a Natural Language Processing (NLP)pipeline to identify clinical phenotyp... read more
OBJECTIVES: Familial Mediterranean Fever (FMF) is a genetic autoinflammatory condition marked by recurrent fever and serositis. Colchicine is the mainstay treatment. However, 5-10% of patients exhibit colchicine resistance, requiring alternative ther... read more
OBJECTIVES: Childhood-onset systemic lupus erythematosus (cSLE) with lupus nephritis (LN) presents therapeutic challenges due to complex mycophenolic acid (MPA) pharmacokinetics. This study developed machine learning (ML)-based models to predict MPA ... read more
Dalton transactions (Cambridge, England : 2003)
Feb 17, 2026
The growing demand for rapid and selective detection of hazardous gases drives the development of electronic nose (e-nose) systems. By combining partially selective sensor arrays with pattern recognition algorithms, e-noses effectively identify and q... read more
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