These guidelines provide a clear and practical framework for the effective implementation of digital pathology (DP) in routine anatomical pathology practice. Digital pathology, defined as the digitization of microscope slide into high-resolution whol... read more
BACKGROUND: DNA sequence deep learning models can accurately predict epigenetic and transcriptional profiles, enabling analysis of gene regulation and genetic variant effects. While large-scale models like Enformer and Borzoi are trained on abundant ... read more
Scandinavian journal of trauma, resuscitation and emergency medicine
Jan 30, 2026
BACKGROUND: The gray-to-white matter ratio (GWR) on brain computed tomography (CT) is used to predict neurological outcomes after cardiac arrest. Even though automated methods, such as automatic GWR and machine learning, have been compared to manual ... read more
OBJECTIVE: Semi-automated tools used during the preliminary screening of articles in systematic reviews can start with a small set of seed articles and actively learn from human decisions to prioritise more relevant articles for subsequent screening.... read more
American journal of preventive medicine
Jan 30, 2026
INTRODUCTION: E-cigarette prevention campaigns face visibility and sustainability challenges on social media, where provaping content dominates, and coordinated opposition is common. National initiatives such as the Food and Drug Administration's The... read more
BACKGROUND: The glymphatic system plays a critical role in brain waste clearance and health. Diffusion tensor imaging along the perivascular space (DTI-ALPS) is an emerging approach to assess glymphatic function, but manual analysis is limited by its... read more
INTRODUCTION: Respiratory-induced artefacts cause blurring in PET images, impairing lesion identification and diagnosis. Existing correction methods exhibit limited feature learning capabilities, making it challenging to effectively eliminate artefac... read more
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