Glaucoma, a major cause of blindness, involves retinal ganglion cell (RGC) degeneration. This study shows growth hormone‐releasing hormone receptor (GHRHR) deficiency preserves RGC survival and restores vision, unlike activation which only aids survival.
Yan Tong +24 more
wiley +1 more source
Modernizing Colorectal Cancer Care With Artificial Intelligence: Real-Time Detection, Radiomics, and Digital Pathology. [PDF]
Nasr E +5 more
europepmc +1 more source
Understanding how glomeruli, the kidney's filtration units, function in intact tissue remains challenging. Glomage enables rapid 3D imaging and quantitative analysis of entire glomeruli from zebrafish larvae and mice. This approach allows scalable cell quantification and detection of structural changes, advancing kidney disease research and ...
Maximilian Schindler +4 more
wiley +1 more source
The Relationship Between Non-Invasive Tests and Digital Pathology for Quantifying Liver Fibrosis in MASLD. [PDF]
Wei X +9 more
europepmc +1 more source
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
Enhancing early prediction of pathological complete response in breast cancer using attention-based convolutional neural networks in digital pathology. [PDF]
Comes MC +12 more
europepmc +1 more source
Pathologists' user experience in the era of digital pathology: a KAP study in a region of emerging digitization. [PDF]
Sughayer MA, Souan L, Tadros JS.
europepmc +1 more source
Digital Pathology Quantification of the Continuum of Cirrhosis Severity in Human Liver Biopsies. [PDF]
Petitjean L +6 more
europepmc +1 more source
DuXplore: A Dual-Hierarchical Deep Learning Model for Prognostic Prediction of Hepatocellular Carcinoma in Digital Pathology. [PDF]
Zhang H, Liu M, Zhao X, Zhang Y, Sui L.
europepmc +1 more source

