Tissue analysis is vital for investigating disease mechanisms and guiding diagnostics, eg, in
cancer, communicable or noncommunicable diseases. During the last decades …

In the human body, the vascular system plays an indispensable role in maintaining
homeostasis by supplying oxygen and nutrients to cells and organs and facilitating the …

Deep learning offers great opportunities to improve quantitative and qualitative kidney
histology analysis for research and clinical nephropathology diagnostics. Although exciting …

Contrast-induced acute kidney injury (CIAKI) is a common complication with limited
treatments. Intermedin (IMD), a peptide belonging to the calcitonin gene-related peptide …

Background Pathomics facilitates automated, reproducible and precise histopathology
analysis and morphological phenoty**. Similar to molecular omics, pathomics datasets …

Background: Interstitial fibrosis and tubular atrophy (IFTA), and density and shape of
peritubular capillaries (PTCs), are independently prognostic of disease progression. This …

The introduction of machine learning in digital pathology has deeply impacted the field,
especially with the advent of whole slide image (WSI) analysis. In this review, we tried to …

Background Visual scoring of tubular damage has limitations in capturing the full spectrum
of structural changes and prognostic potential. We investigate if computationally quantified …

Background Patients' report of bowel movement consistency is unreliable. We demonstrate
the feasibility of long‐term automated stool image data collection using a novel Smart Toilet …

Spatial–OMICS technologies facilitate the interrogation of molecular profiles in the context of
the underlying histopathology and tissue microenvironment. Paired analysis of …