Artificial intelligence (AI) is the use of mathematical algorithms to mimic human cognitive
abilities and to address difficult healthcare challenges including complex biological …

In the past decade, advances in precision oncology have resulted in an increased demand
for predictive assays that enable the selection and stratification of patients for treatment. The …

Benefiting from the large-scale archiving of digitized whole-slide images (WSIs), computer-
aided diagnosis has been well developed to assist pathologists in decision-making. Content …

Histopathological images contain rich phenotypic information that can be used to monitor
underlying mechanisms contributing to disease progression and patient survival outcomes …

The adoption of digital pathology has enabled the curation of large repositories of gigapixel
whole-slide images (WSIs). Computationally identifying WSIs with similar morphologic …

Background & Aims Liver biopsies are a critical component of pivotal studies in non-
alcoholic steatohepatitis (NASH), constituting inclusion criteria, risk stratification factors and …

Pathology is the cornerstone of cancer care. The need for accuracy in histopathologic
diagnosis of cancer is increasing as personalized cancer therapy requires accurate …

Malignant mesothelioma (MM) is an aggressive cancer primarily diagnosed on the basis of
histological criteria. The 2015 World Health Organization classification subdivides …

Digital pathology is on the verge of becoming a mainstream option for routine diagnostics.
Faster whole slide image scanning has paved the way for this development, but …

Histopathological classification of gastric and colonic epithelial tumours is one of the routine
pathological diagnosis tasks for pathologists. Computational pathology techniques based on …