Academic Articles & Research Papers

Comprehensive and reproducible grading of the Updated Sydney System in gastric biopsies using artificial intelligence: multi-pathologist validation and a reader study.

Evaluating Adenomyosis with Transvaginal Sonography: Diagnostic Precision and Clinical Relevance

Background: Adenomyosis is an important benign gynecological condition among females with variable signs and symptoms. Prompt detection of suspicious cases is important for the effective management of the disease. The objective of the curre...

Computable phenotype for real-world, data-driven retrospective identification of relapse in ANCA-associated vasculitis

Objective ANCA-associated vasculitis (AAV) is a relapsing-remitting disease, resulting in incremental tissue injury. The gold-standard relapse definition (Birmingham Vasculitis Activity Score, BVAS>0) is often missing or inaccurate in re...

Differences in Genetic Background Contribute to Pseudomonas Exotoxin A-Induced Hepatotoxicity in Rats

Pseudomonas aeruginosa exotoxin A (PEA) causes severe hepatotoxicity in experimental animals and is useful in investigations of immune-mediated liver injury. However, strain differences in the sensitivity to PEA-induced hepatotoxicity in ra...

In vivo and in vitro toxicity of nanogold conjugated snake venom protein toxin GNP-NKCT1

Research on nanoparticles has created interest among the biomedical scientists. Nanoparticle conjugation aims to target drug delivery, increase drug efficacy and imaging for better diagnosis. Toxicity profile of the nanoconjugated molecules...

The Emirates Gastroenterology and Hepatology Society Consensus Recommendations for the Diagnosis and Management of Adults with Eosinophilic Esophagitis in the United Arab Emirates: A National Delphi Study

Background: Eosinophilic esophagitis (EoE) is a chronic, immune-mediated esophageal disease characterized by symptoms of esophageal dysfunction and eosinophil-predominant inflammation. Increasing recognition of EoE and advances in its diagn...

Tumor probability mapping of fluorescence intensity during image-guided surgery of head and neck cancer

Abstract Achieving negative surgical margins remains a critical determinant of local recurrence and survival in head and neck cancer (HNC) surgery. Current intraoperative margin assessment techniques, including frozen section analysis, suff...

Integrative multiomics-histopathology analysis for breast cancer classification

Abstract Histopathologic evaluation of biopsy slides is a critical step in diagnosing and subtyping breast cancers. However, the connections between histology and multi-omics status have never been systematically explored or interpreted. We...

Deep learning in cancer diagnosis, prognosis and treatment selection

Deep learning is a subdiscipline of artificial intelligence that uses a machine learning technique called artificial neural networks to extract patterns and make predictions from large data sets. The increasing adoption of deep learning acr...

Deep learning in histopathology: the path to the clinic

Artificial intelligence in diagnostic pathology

Digital pathology (DP) is being increasingly employed in cancer diagnostics, providing additional tools for faster, higher-quality, accurate diagnosis. The practice of diagnostic pathology has gone through a staggering transformation wherei...