Single-cell atlases promise to provide a 'missing link'between genes, diseases and
therapies. By identifying the specific cell types, states, programs and contexts where disease …

Research into the potential benefits of artificial intelligence for comprehending the intricate
biology of cancer has grown as a result of the widespread use of deep learning and …

Simple Summary Breast cancer diagnosis and treatment can be improved by understanding
the specific genetic makeup of a patient's tumour. Currently, this genetic information is …

Deep learning (DL), often called artificial intelligence (AI), has been increasingly used in
Pathology thanks to the use of scanners to digitize slides which allow us to visualize them on …

Prostate cancer (PCa) is a common malignancy in males. The pathology review of PCa is
crucial for clinical decision-making, but traditional pathology review is labor intensive and …

The alignment of tissue between histopathological whole-slide-images (WSI) is crucial for
research and clinical applications. Advances in computing, deep learning, and availability of …

Histopathological images are widely used for the analysis of diseased (tumor) tissues and
patient treatment selection. While the majority of microscopy image processing was …

Identification of actionable genomic alterations in diagnostic tissue samples provides key
information for personalised cancer treatment. However, current diagnostic tests used to …

Abstract Analysis of whole-slide-images (WSIs) of histopathology tissue sections remains
challenging due to the gigapixel scale of these images, which often necessitates their …

Purpose To evaluate the Stratipath Breast tool for image-based risk profiling and compare it
with an established prognostic multigene assay for risk profiling in a real-world case series …