Latest AI and machine learning research in pathology for healthcare professionals.
Biological proteins play a crucial role at the intersection of oral health and neuroscience, offerin...
Breast cancer is the leading cause of cancer-related deaths among women worldwide. It is standard pr...
Cervical cancer ranks as the fourth most prevalent cancer among women worldwide. The increasing inci...
Generative AI (GenAI) has advanced computational pathology through various image translation models....
The heterogeneity of breast cancer at molecular and histological levels poses significant challenges...
Per- and polyfluoroalkyl substances (PFAS) are persistent global contaminants, posing challenges to ...
Angioimmunoblastic T-cell lymphoma (AITL) is an aggressive peripheral T-cell lymphoma with a poor pr...
OBJECTIVE: Differentiating sinonasal small round cell malignant tumors (SRCMTs) from non-SRCMTs is c...
Gastrointestinal tumors represent a significant global public health challenge, characterized by hig...
BACKGROUND: Lung cancer is one of the major cancers worldwide, and rapid, accurate diagnosis is cruc...
Breast cancer continues to be a significant worldwide health concern, requiring ongoing improvements...
The subtle imaging features of thymic epithelial tumors (TETs), which comprise multiple pathological...
Kidney transplantation significantly improves outcomes in end-stage renal disease, however, long-ter...
Uveal melanoma (UM) is among the most prevalent intraocular malignant tumors worldwide. Celastrol ex...
Pleural and ascitic cytology is essential for diagnosing metastatic cancer and predicting tumor orig...
Serum microRNA-based liquid biopsy holds a great application prospect in noninvasive lung cancer dia...
PURPOSE: Some patients with drug-induced liver injury (DILI) would progress into chronicity or letha...
Cell viability assays are essential tools in biomedical research and drug development. Artificial in...
Histological analysis is central to biomedical research and diagnostic pathology, yet conventional t...
BACKGROUND: Given the highly heterogeneous biology of breast cancer, a more effective noninvasive di...
OBJECTIVE: To evaluate the trade-offs among model resolution, anatomical fidelity, computational cos...