Latest AI and machine learning research in pathology for healthcare professionals.
Segmenting individual instances of mitochondria from imaging datasets can provide rich quantitative ...
Mapping the complete three-dimensional (3D), transcriptome-wide spatial architecture of tissues and ...
Recent advances in three-dimensional single-cell-resolution imaging have begun to link organ-wide an...
Quantitative oblique back-illumination microscopy (qOBM) has emerged as a powerful technique for lab...
Post-mortem diffusion MRI plays a key role in investigative pipelines to characterise tissue microst...
Analyzing whole tissue architecture remains challenging due to the inherent complexity of multicellu...
Recent advances in pathology foundation models (PFMs), which are pretrained on large-scale histopath...
Analysis of cellular states and signaling trajectories can provide insights into causes of disease. ...
Functional hyperaemia is a well-established hallmark of healthy brain function, whereby local brain ...
Histopathological analysis is considered the gold standard for the diagnosis and prognostication of ...
Cell shape is a fundamental determinant of tissue architecture and organ function. In epithelial tis...
Automated invertebrate classification using computer vision has shown significant potential to impro...
For the effective operation of medical microrobots within living organisms and precise targeting, it...
The circulation of cerebrospinal and interstitial fluid plays a vital role in clearing metabolic was...
Availability of microbial genomic data and development of machine learning methods create a unique o...
Volume electron microscopy by high-pressure freeze substitution combined with block-face focused ion...
Despite promising results in using deep learning to infer genetic features from histological whole-s...
The high rate of local recurrence in gastric adenocarcinoma (GA) suggests that carcinogenesis is not...
Lung adenocarcinoma (LUAD), the most common subtype of non–small cell lung cancer (NSCLC) exhibits p...
Spatial transcriptomics technologies enable high-throughput quantification of gene expression at spe...
Quantifying spatial organization in hematoxylin and eosin (H&E)–stained whole-slide images (WSIs) is...