Latest AI and machine learning research in pathology for healthcare professionals.
Cell detection in histopathology images strongly depends on surrounding tissue context, where visual...
Automated mitosis detection is a well-established task in computational pathology. While previous be...
Background Coeliac disease (CD) diagnosis on duodenal biopsies is limited by interobserver variabili...
Microscopy image analysis is central to modern biology, yet many available platforms remain inaccess...
Demand for low-precision inference, including NVFP4-based approaches, has grown as large language mo...
Explanations of multiple instance learning (MIL) models are widely used for validation and discovery...
Medical vision-language models (VLMs) have shown increasing potential for clinical image interpretat...
Effective filtration and concentration of stool specimens is an essential pre-analytical step for re...
Introduction: Postmortem imaging at ultrahigh field strengths, such as 7 Tesla (7T) magnetic resonan...
Histopathological evaluation of skeletal muscle biopsies relies on subjective, semi-quantitative ass...
Background Coeliac disease affects approximately 1% of the global population and remains substantial...
Histopathological assessment remains central to cancer diagnosis and stratification, yet its mechani...
Deep Learning (DL) holds exciting potential in automating the prediction of organoid differentiation...
Conventional tissue image analysis software provides foundational capabilities for cellular analysis...
Histomorphology and spatial transcriptomics capture complementary aspects of tissue biology, but the...
Clinical variant interpretation requires mechanism-aware evidence to guide diagnosis and clarify the...
Fluorescent microscopy provides a rich view into how proteins localize within cells, but it remains ...
Background: Store-and-forward teledermatology commonly relies on several patient-submitted photograp...
Multiplexed imaging technologies enable the simultaneous measurement of dozens of protein markers wh...
Biological tissues are inherently three-dimensional (3D) ecosystems where spatial architecture dicta...
Pathologist-annotated tissue regions provide a fundamental reference for examining spatial omics dat...