Lightweight liquid neural networks decipher salivary metabolic fingerprinting for high-risk periodontitis screening in diabetes

Advancing the adoption of oncology decision support tools in Europe: insights from CAN.HEAL

Effective cancer care increasingly depends on digital decision support tools (DSTs) to interpret complex clinical, molecular, and genomic data and guide personalised treatment decisions. However,

Enhanced meta ensemble stacking approach with XGBoost and optuna based detection of Parkinson’s disease

Parkinson’s disease (PD), a progressive neurological disorder affecting motor function, has been significantly rising in prevalence in recent years. Current diagnostic methods, relying on clinical

Early Type 2 diabetes risk prediction using explainable machine learning in a two-stage approach

BackgroundDiabetes is a chronic disease characterized by elevated blood glucose levels. Without early detection and proper management, it can lead to serious complications and increase

Editorial: Advancing digital mental health for youth

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Cybersecurity breaches in medical devices: analyzing FDA safety communications in response to patient security concerns

IntroductionThe increasing integration of connected medical devices and internet of things (IoT) technologies in healthcare has significantly improved patient care and operational efficiency. However, this