Results 221 to 230 of about 634,491 (341)

Deep learning‐assisted design of nanozyme for immune regulation

open access: yesJournal of Intelligent Medicine, EarlyView.
Overview of nanozyme‐based strategies for inflammatory bowel disease therapy, featuring metal‐based and non‐metallic nanozymes classified by structure, alongside multifunctional and engineered probiotic‐based nanozymes classified by function. Abstract Inflammatory bowel disease (IBD), with rising global incidence and disease burden, is a multifactorial
Ke Chen   +3 more
wiley   +1 more source

Evaluating the Additional Value of Endoscopic Ultrasonography for Depth Assessment of Esophagogastric Junction Adenocarcinoma. [PDF]

open access: yesDEN Open
Suzuki K   +11 more
europepmc   +1 more source

Upper and small bowel Crohn's disease in Brazilian children: Phenotypic characteristic and surgical risk

open access: yesJournal of Pediatric Gastroenterology and Nutrition, EarlyView.
Abstract Objectives Upper and small bowel Crohn's disease (U‐SBCD) represents a clinically aggressive phenotype with high complication rates yet remains diagnostically challenging. In low‐ and middle‐income countries (LMICs), limited inflammatory bowel disease (IBD) awareness contributes to diagnostic delays, but their impact on U‐SBCD outcomes remains
Jane Oba   +12 more
wiley   +1 more source

Role of endoscopic ultrasonography or magnetic resonance imaging for screening of pancreatic cancer in low-risk individuals. [PDF]

open access: yesWorld J Clin Oncol
Lin WC   +10 more
europepmc   +1 more source

Updated ERNICA guidelines for the management of rectosigmoid Hirschsprung's disease 2025

open access: yesJournal of Pediatric Gastroenterology and Nutrition, EarlyView.
Abstract Objectives To revise the 2018 European Reference Network for rare Inherited and Congenital Digestive and Gastrointestinal Anomalies (ERNICA) clinical guideline for the management of rectosigmoid Hirschsprung's disease (HSCR) based on new evidence and evolving clinical priorities, ensuring continued relevance, trustworthiness, and consistency ...
Daniel Rossi   +35 more
wiley   +1 more source

The needle study: Machine learning as a new method for case‐finding in celiac disease

open access: yesJournal of Pediatric Gastroenterology and Nutrition, EarlyView.
Abstract Objectives Despite a well‐defined diagnostic work‐up, uncertainties persist regarding celiac disease (CeD) detection strategies in the general population. Machine learning (ML) algorithms offer promise in aiding medical decision‐making on clinical data.
Chiara Maria Trovato   +9 more
wiley   +1 more source

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