Latest AI and machine learning research in pathology for healthcare professionals.
Diabetes is a chronic condition brought on by either an inability to use insulin effectively or a la...
Gene expression is an important process in which genes guide the synthesis of proteins, and molecula...
Forensic pathology plays a vital role in determining the cause and manner of death through macroscop...
Digital pathology (DP) has evolved alongside other technical advances, transforming our daily lives ...
Breast cancer is the most common cancers among women worldwide. Early diagnosis and personalized med...
Neuroblastoma is an aggressive childhood cancer characterised by high relapse rates and heterogenici...
In multi-robot collaboration, individual failures can propagate to other robots due to the topologic...
To evaluate the accuracy and acceptability of self-sampling samples for HPV testing for cervical can...
Small animal models are crucial for investigating idiopathic pulmonary fibrosis (IPF) and developing...
INTRODUCTION: Variations in cytomorphology due to differences in specimen preparation conditions hin...
BACKGROUND: Patients have immediate access to their diagnostic reports but these reports exceed the ...
A diagnosis of atherosclerotic cardiovascular disease is critical importance in forensic medicine, p...
Spatial transcriptomics (ST) integrates gene expression with spatial location, enabling precise mapp...
This study aims to enhance the accuracy of pneumonia diagnosis from x-ray images by developing a mod...
BackgroundAlzheimer's disease (AD) is characterized by complex pathological mechanisms, with pyropto...
In industrial settings, bearing health directly affects equipment stability, making accurate and eff...
Acute myocardial infarction (AMI) is a serious heart disease with high fatality rates. The progress ...
Data-driven intelligent fault diagnosis methods have become essential for ensuring the reliability a...
Keloids are a severe type of pathological scars caused by excessive connective tissue hyperplasia af...
Transplantation of donor grafts recellularized with recipient-derived or non-immunogenic universal c...
RATIONALE AND OBJECTIVES: To develop and validate a deep learning model based on arterial phase-enha...