Irritable Bowel Syndrome

Deployment of a machine learning-based predictive system for childhood diarrhea in Sub-Saharan Africa.

Diarrhea remains a leading cause of child mortality in Sub-Saharan Africa, necessitating advanced predictive tools for early intervention. Despite the growing adoption of machine learning in healthcare, gaps persist in deploying models as scalable, real-world solutions. This study developed an end-to-end machine learning framework to predict diarrhea among children under five in SSA, integrating r...

Comparative performance of machine learning models in predicting childhood diarrhea: implications for public health surveillance.

Incidence rate of and risk factors for anorectal diseases in primiparae in the first 6 weeks following delivery.

OBJECTIVES: We aimed to explore the incidence rate of and risk factors for anorectal diseases in primiparae in the first 6 weeks following delivery, a...

Optimal Single or Combined Parameters for Dyssynergic Defecation on Anorectal Manometry: A Proof-of-Concept Machine Learning Study.

INTRODUCTION: To perform a proof-of-concept study to evaluate the performance of individual and combined anorectal manometry and balloon expulsion tes...

Exploring the molecular mechanism of Shenling baizhu formula in the treatment of ulcerative colitis via the cGMP-PKG signaling pathway.

ETHNOPHARMACOLOGICAL RELEVANCE: Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by symptoms such as persistent diarrhea....

Prediction of Massage Force and Intra-abdominal Wall Deformation During Massage by a Digital Twin Model Based on an Abdominal Finite Element Model.

PURPOSE: Constipation is a prevalent disorder of the digestive system, and abdominal massage is commonly employed to alleviate its symptoms due to its...

Adverse reactions of PD-1/PD-L1 inhibitors in cancer: FAERS database analysis and protocols to mitigate immune-related events in elderly patients and when using pembrolizumab and atezolizumab.

OBJECTIVE: This study aimed to characterize adverse drug reactions (ADRs) associated with programmed death-1/programmed death-ligand 1 (PD-1/PD-L1) in...

Real-world Study of Three-gas Breath Testing Nationwide and the Association With Symptoms.

GOALS AND BACKGROUND: Hydrogen (H 2 ) breath testing (BT) is used to diagnose small intestinal bacterial overgrowth (SIBO), and methane (CH 4 ) to dia...

Translational and real-world evidence of trastuzumab biosimilar CT-P6 plus pertuzumab in neoadjuvant HER2-positive early breast cancer.

BACKGROUND: Data on neoadjuvant treatment with trastuzumab biosimilars, particularly CT-P6, in combination with pertuzumab, are limited. This study ev...

A deep learning-based tool for rapid and automated detection of Cryptosporidium oocysts: A new approach for veterinary diagnostics and epizootiological surveys.

Cryptosporidiosis, caused by Cryptosporidium spp., is a significant zoonotic parasitic disease impacting neonatal calves, leading to severe diarrhea, ...

A "Curriculum of Information Needs" of Parents of Children With Chronic Constipation.

Chronic idiopathic constipation carries a significant burden on children and their families. Despite existing treatment guidelines, adherence and outc...

The Impact of Radiation Dose to Bowel on the Risk of Developing Gastrointestinal Toxicities When Treating Abdominopelvic Soft-Tissue Sarcomas With Preoperative Radiation Therapy.

PURPOSE: Abdominopelvic soft-tissue sarcomas (AP-STS) are selectively treated with radiation therapy (RT) followed by surgery. We investigated dosimet...

Personalized azithromycin treatment rules for children with watery diarrhea using machine learning.

We use machine learning to identify innovative strategies to target azithromycin to the children with watery diarrhea who are most likely to benefit. ...

Coarse Grain Preference, Gut Microbiota Features, in Relation to Hypertriglyceridemia in Constipation Patients: A Cross-Sectional Study.

Coarse grain (CG) benefits blood lipids involving gut microbiota regulations. Little is known about the relation between CG preference and blood lipid...

A Proof-of-Concept Diagnostic Platform for Neonatal Calf Diarrhea using Serum Infrared Spectroscopy and Predictive Analytics.

This study presents a novel diagnostic platform for the rapid and non-invasive detection of neonatal calf diarrhea using ATR-FTIR spectroscopy combine...

Undesired nexus poor health status of child under-five: A case study of Pakistan.

Childhood morbidity and mortality are key indicators of human development, particularly reflecting poor health conditions in children. In Pakistan, ch...

Incorporating organ deformation in biological modeling and patient outcome study for permanent prostate brachytherapy.

Permanent prostate brachytherapy has inherent intraoperative organ deformation due to the inflatable trans-rectal ultrasound probe cover. Since the ma...

AI-Driven Defecation Analysis by Smart Healthcare Toilet: Exploring Biometric Patterns and Eu-Tenesmus.

Defecation, a fundamental physiological process, remains underexplored despite its importance in human health. To address this gap, a smart toilet sys...

An application of deep learning model InceptionTime to predict nausea, vomiting, diarrhoea, and constipation using the gastro-intestinal pacemaker activity drug database (GIPADD).

The accurate preclinical prediction of adverse drug reactions (ADRs), such as nausea and vomiting, remains a challenge. The Gastro-Intestinal Pacemake...

A retrospective study using machine learning to develop predictive model to identify rotavirus-associated acute gastroenteritis in children.

BACKGROUND: Rotavirus is the leading cause of severe dehydrating diarrhea in children under 5 years worldwide. Timely diagnosis is critical, but acces...