Latest AI and machine learning research in pathology for healthcare professionals.
Despite their impressive capabilities, current Text-to-Image (T2I) models remain prone to generating...
Reliable Alzheimer's disease (AD) diagnosis increasingly relies on multimodal assessments combining ...
Backgrounds: Most rare coding variants in monogenic disease genes remain classified as Variants of U...
Lung cancer is characterized by profound intratumoral and inter-patient heterogeneity, spanning hist...
Quantitative assessment of optic nerve health requires metrics beyond axon counts alone. Axon densit...
Extrachromosomal DNA (ecDNA) is a major driver of oncogene amplification, tumour heterogeneity and p...
We report Multiomics Spatial Image Analysis (MSIA), a suite of technologies that include streamlined...
Non-invasive MRI is widely used to assess and monitor ischemic stroke, yet conventional approaches o...
Accurate classification of pediatric central nervous system tumors remains challenging due to histol...
Low-field (LF) magnetic resonance imaging (MRI) democratizes access to diagnostic imaging but is fun...
White blood cell (WBC) classification is fundamental for hematology applications such as infection a...
Volume Electron Microscopy (VEM) is crucial for 3D tissue imaging but often produces anisotropic dat...
Accurate cell type classification is essential for a wide range of biomedical applications, includin...
Single-molecule localization microscopy (SMLM) enables volumetric nanoscopy by retrieving 3D molecul...
Rapid progress in vision-language modeling has enabled pathology report generation from gigapixel wh...
We propose an experience-guided cascaded multi-agent framework for Breast Ultrasound Screening and D...
Modern microscopy routinely produces gigapixel images that contain structures across multiple spatia...
Batch effects arising from technical variations in histopathology staining protocols, scanners, and ...
Chemical shift-encoded magnetic resonance imaging using high-resolved 3D Dixon techniques enables th...
The spatial organization of the tumor immune microenvironment (TIME) drives hepatocellular carcinoma...
Light-sheet fluorescence microscopy enables deep optical sectioning of large, cleared biological tis...