35 papers
This study demonstrates that quantitative analysis of 18F-FDG PET/CT metabolic parameters, specifically post-treatment SULpeak and its percentage change, serves as a superior prognostic indicator for pancreatic ductal adenocarcinoma patients following neoadjuvant chemotherapy compared to traditional criteria like RECIST 1.1.
A national survey of US adults reveals that individuals experiencing symptoms of Cannabinoid Hyperemesis Syndrome report significantly higher rates of suicidal thoughts, behaviors, and associated psychological distress compared to daily cannabis users without the syndrome.
A 2025 national survey of US adults reveals that individuals experiencing Cannabinoid Hyperemesis Syndrome (CHS) symptoms exhibit significantly higher rates of polysubstance use, psychiatric disorders, antisocial behavior, and dysfunctional personality traits compared to other cannabis users and non-users.
This study demonstrates that the immune contexture of screen-detected adenomas, specifically characterized by T cell and macrophage density and spatial distribution, serves as a novel biomarker that independently predicts the risk of metachronous colorectal neoplasia, offering a potential tool to refine current surveillance guidelines and reduce misclassification of patient risk.
This study of North Indian MASLD patients reveals a distinct genetic dissociation where the APOC3 rs2854116 variant primarily influences disease susceptibility at the population level, while the PNPLA3 rs738409 variant specifically drives fibrosis progression within established disease.
This study presents the development and psychometric validation of the GI-specific Avoidance Scale (GIAS), a robust 20-item, three-factor questionnaire that effectively measures GI-specific avoidance and demonstrates significant incremental validity in predicting symptom severity and psychological distress among patients with chronic gastrointestinal conditions.
A cross-sectional study of 353 symptomatic patients at Mulago Hospital in Uganda revealed a high prevalence of 87.3% for *Helicobacter pylori* infection, which was significantly associated with having more than five income dependents, a history of previous treatment, and a family history of the infection or gastrointestinal ulcers.
This multi-cohort study identifies a specific ultra-processed food metabolic signature linked to increased Crohn's disease risk, revealing that the depletion of the protective metabolite docosahexaenoic acid (DHA) serves as a key causal mediator in this relationship.
This prospective study demonstrates that a novel thermoacoustic ultrasound method (TAFF) provides an accurate, non-invasive, and reproducible point-of-care alternative for diagnosing and monitoring MASLD, showing strong correlation with the reference standard MRI-PDFF and robust performance regardless of patient BMI.
This study demonstrates that 12-HHT enhances epithelial barrier integrity and exerts anti-inflammatory effects in colonic organoids derived from Hirschsprung disease patients by upregulating tight junction proteins and mitigating TNF-α-induced barrier dysfunction.
This study identifies and validates a distinct monocyte subpopulation characterized by mitochondrial dysfunction and impaired oxidative phosphorylation as a key predictor of progression from acute decompensation to acute-on-chronic liver failure in patients with cirrhosis.
By integrating human ileum organ chips that faithfully model acute radiation injury with an AI-driven drug repurposing algorithm, researchers identified the FDA-approved antifungal miconazole as a promising therapeutic countermeasure for radiation-induced intestinal damage.
Although neonatal metabolomic profiles effectively capture specific gestational exposures like maternal smoking and birth weight, they fail to predict future inflammatory bowel disease risk, suggesting that the majority of IBD susceptibility accumulates later in life rather than being imprinted during gestation.
This paper presents an AI-powered metagenomic tool that utilizes XGBoost and CrewAI to predict Inflammatory Bowel Disease status with 86.6% accuracy and generate personalized probiotic recommendations based on identified gut dysbiosis.
This study demonstrates that glutamate dehydrogenase (GLDH) is a superior biomarker for risk stratifying choledocholithiasis compared to traditional markers like AST, ALT, and bilirubin, exhibiting the highest predictive accuracy and specificity in a large emergency department cohort.