Latest AI and machine learning research in pathology for healthcare professionals.
BACKGROUND: Primary biliary cholangitis (PBC) is a chronic, progressive, cholestatic liver disease caused by autoimmune reactions. A previous international meta-analysis of a genome-wide association study (GWAS) reported a robust association of the human chr.11q23.3 locus including C-X-C motif chemokine receptor 5 (CXCR5) with susceptibility to PBC. However, the molecular mechanism by which CXCR5 ...
Recent advances in deep learning for histopathological image analysis have led to increasingly complex architectures that require substantial computational resources and large datasets. While these models achieve strong performance, they often fail to deliver meaningful benefits to clinical practitioners. This study provides a systematic empirical analysis of performance-efficiency trade-offs amon...
BACKGROUND: Prostate cancer imaging is inherently multimodal, yet many AI tools remain single-modality and therefore misaligned with real-world abdomi...
OBJECTIVES: To evaluate the zero-shot capabilities of a multimodal deep learning model (Gemini 3.0) in segmenting Soft Tissue Sarcomas (STS) on MRI an...
BACKGROUND: Anxiety-depressive disorder (ADD) is one of the important subtypes of depression, which has been shown to be closely related to neuroimmun...
Autofluorescence photobleaching encodes valuable information related to tissue morphology, metabolism, and fluorophore microenvironment; however, it r...
BACKGROUND: Patients with muscle-invasive bladder cancer (MIBC) have heterogeneous outcomes following transurethral resection of bladder tumor (TURBT)...
Neuroblastoma is the most common extracranial solid tumor in children, with risk stratification guiding therapy and prognosis. Although current risk s...
Myocarditis is an inflammatory disease of the myocardium with diverse aetiologies, ranging from infections and autoimmune processes to drug-induced re...
OBJECTIVES: A screening-trained deep learning (DL) model (DL1) for pulmonary nodule malignancy probability estimation on CT previously demonstrated go...
OBJECTIVES: There is limited data demonstrating the benefit of artificial intelligence technology in the diagnosis and triage of pulmonary embolism. O...
Objective: To systematically evaluate the diagnostic performance of an artificial intelligence (AI)-assisted diagnostic system in identifying squamous...
MOTIVATION: The rapid advancement of spatial omics is fundamentally hindered by the resolution gap between physical capture platforms and genuine biol...
Pathogenic biofilms are a critical barrier to wound healing, driving infection persistence, delayed tissue repair, and antimicrobial resistance (AMR) ...
Lung cancer remains a leading cause of cancer-related mortality worldwide due to its extensive molecular heterogeneity, late-stage diagnosis, and ther...
BACKGROUND: Gastric cancer (GC) is one of the most common malignant tumors worldwide, with Helicobacter pylori-associated intestinal-type gastric canc...
INTRODUCTION: Climate change has increased the incidence of compound stresses, including the co-occurrence of nitrogen deficiency (-N) and high temper...
Histopathologic evaluation remains central to cancer diagnosis and treatment planning, yet the molecular programs underlying distinct tissue morpholog...
BACKGROUND AND AIMS: Duodenal biopsy combined with tissue transglutaminase (tTG-IgA) antibodies is the gold standard for celiac disease diagnosis. Iss...
BACKGROUND: Bladder cancer is the 11th most common cancer in the United Kingdom, with approximately 10,500 new cases annually. Diagnosis and surveilla...