Latest AI and machine learning research in pathology for healthcare professionals.
Oral Cancer often occurs from the transformation of precursor lesions, and this offers an opportunit...
Breast cancer is still one of the most significant global contributors to cancer-related deaths. Art...
Interval cancer is defined as malignant tumor newly diagnosed within a specific time window after a ...
INTRODUCTION: Anti-neutrophil cytoplasmic antibody-associated glomerulonephritis (ANCA-GN) and immun...
BACKGROUND: Sinonasal inverted papilloma (IP) and malignancies share overlapping clinical and endosc...
OBJECTIVE: A resource-efficient convolutional neural network with conditional generative adversarial...
Accurate acquisition of disease-associated molecular information is increasingly essential for disea...
BackgroundDementia subtypes exhibit diverse clinical and pathological features, yet may share conver...
Snake venom Metalloproteinases (SVMPs) are Zn²⁺-dependent endopeptidases categorised under metzincin...
Artificial intelligence (AI) has emerged as a major area of interest in pathology, driven by improve...
BACKGROUND: Adenomatoid odontogenic tumour (AOT) is an uncommon benign epithelial odontogenic tumour...
To further standardize the prevention and management of lung cancer in China, improve the level of d...
Rapid, low-cost tools for ovarian tumor discrimination and post-treatment assessment remain limited ...
Unsupervised anomaly detection in histopathological images has been widely explored using reconstruc...
Physical virology investigates viral particles by focusing on their assembly, stability, mechanics, ...
Microrobotics, while emerging as a promising technological platform for tissue engineering and regen...
The functional versatility of sodium alginate (SA) in biomedical engineering is fundamentally govern...
ObjectiveFederated learning enables collaborative medical model development without centralizing pat...
Breast cancer requires non-invasive biomarkers for accurate detection and risk stratification. We co...
The absence of accurate, noninvasive, scalable screening tools keeps early esophageal cancer (EC) de...
Existing deep learning methods for virtual staining often produce quantitatively unreliable results,...