Latest AI and machine learning research in pathology for healthcare professionals.
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...
Hematology is the study of diagnosis and treatment options for blood diseases, including cancer. Can...
This systematic review evaluated the current status of AI-assisted colonoscopy to identify histologi...
Prostate and breast cancer incidence rates have been on the rise in Japan, emphasising the need for ...
Artificial intelligence is expected to help identify excellent candidates in drug discovery. However...
Tubular injury is the most common cause of acute kidney injury. Histopathological diagnosis may help...
A tissue sample is a valuable resource for understanding a patient's symptoms and health status in r...
Accurate detection of axillary lymph node (ALN) metastases in breast cancer is crucial for clinical...