Pathology diagnostics relies on the assessment of morphology by trained experts, which
remains subjective and qualitative. Here we developed a framework for large-scale …

Until recently, conventional biochemical staining had the undisputed status as well-
established benchmark for most biomedical problems related to clinical diagnostics …

The development of rapid and accurate Whole Slide Imaging (WSI) has paved the way for
the application of Artificial Intelligence (AI) to digital pathology. The availability of WSI in the …

Nonsmall cell lung cancer (NSCLC) is among the most prevalent malignant tumours
threatening human health. In the tumour microenvironment (TME), cancer-associated …

Abstract The XVIth Banff Meeting for Allograft Pathology was held in Banff, Alberta, Canada,
from September 19 to 23, 2022, as a joint meeting with the Canadian Society of …

Fibrosis is a progressive biological condition, leading to organ dysfunction in various clinical
settings. Although fibroblasts and macrophages are known as key cellular players for …

Renal pathology is essential for diagnosing and assessing the severity and prognosis of
kidney diseases. Deep learning-based approaches have developed rapidly and have been …

Pathogenic bacteria are primarily kinds of food hazards that provoke serious harm to human
health via contaminated or spoiled food. Given that pathogenic bacteria continue to …

AI applied to image analysis in nephropathology has potential to transform the field by
improving diagnostic accuracy and reproducibility, efficiency, and prognostic power …

Digital pathology offers powerful tools for biomarker discovery, analysis, and translation.
Despite its advantages, the clinical adoption of digital pathology has been slow. A clinical …