The analysis of the microvasculature and the assessment of angiogenesis have significant
prognostic value in various diseases, including cancer. The search for invasion into the …

Introduction Artificial intelligence (AI) integration in nephropathology has been growing
rapidly in recent years, facing several challenges including the wide range of histological …

Digital imaging and advanced microscopy play a pivotal role in the diagnosis of kidney
diseases. In recent years, great achievements have been made in digital imaging, providing …

Abstract Machine learning applied to digital pathology has been increasingly used to assess
kidney function and diagnose the underlying cause of chronic kidney disease (CKD). We …

Many incurable diseases prevalent across global societies stem from various influences,
including lifestyle choices, economic conditions, social factors, and genetics. Research …

Predicting the transition of kidney function in chronic kidney disease is difficult as specific
symptoms are lacking and often overlooked, and progress occurs due to complicating …

The Authors Guild and 17 authors recently filed a suit against OpenAI for copyright
infringement of their works of fiction on behalf of writers whose works were used to train …

An automatic pathological diagnosis is a challenging task because histopathological images
with different cellular heterogeneity representations are sometimes limited. To overcome …

Various types of motion introduced into a solution can affect, among other factors, the
alignment and positioning of molecules, the agglomeration of large molecules, oxidation …

Latest progress in development of artificial intelligence (AI), especially machine learning
(ML), allows to develop automated technologies that can eliminate or at least reduce human …