Latest AI and machine learning research in pathology for healthcare professionals.
Spatial transcriptomics (ST) provides insights into the tumor microenvironment (TME), which is close...
Since most Hepatocellular Carcinoma (HCC) typically arises as a consequence of long-term liver damag...
AIM: To identify risk factors that associated with the occurrence of venous thromboembolism (VTE) wi...
OBJECTIVE: To establish a multimodal model for distinguishing benign and malignant breast lesions.
OBJECTIVE: To develop a multi-instance learning (MIL) based artificial intelligence (AI)-assisted di...
The current medical standard for setting an oral cancer (OC) diagnosis is histological examination o...
BACKGROUND AND OBJECTIVE: Accurate magnetic resonance imaging (MRI) reporting is essential for trans...
Immunohistochemistry (IHC) is used to guide treatment decisions in multiple cancer types. For treatm...
Pediatric papillary thyroid carcinomas (PPTCs) exhibit high inter-tumor heterogeneity and currently ...
The three-dimensional swimming tracks of motile microorganisms can be used to identify their species...
The timely and accurate diagnosis of breast cancer is pivotal for effective treatment, but current a...
The progress of research focused on cholangiocytes and the biliary tree during development and follo...
Voice change is often the first sign of laryngeal cancer, leading to diagnosis through hospital lary...
Myelodysplastic syndrome is primarily characterized by dysplasia in the bone marrow (BM), presenting...
BACKGROUND: To develop a deep learning(DL) model utilizing ultrasound images, and evaluate its effic...
Tissue engineering, a crucial approach in medical research and clinical applications, aims to regene...
Hematoxylin and eosin staining can be hazardous, expensive, and prone to error and variability. To c...
Mesothelial cells with reactive hyperplasia are difficult to distinguish from malignant mesothelioma...
Bleomycin (BLM)-induced lung injury in mice is a valuable model for investigating the molecular mech...
BACKGROUND AND OBJECTIVE: The automatic registration of differently stained whole slide images (WSIs...
INTRODUCTION: Digitizing cytology slides presents challenges because of their three-dimensional feat...