Optimising fatigue, abdominal pain and faecal incontinence in people with inflammatory bowel disease (IBD-BOOST Optimise): feasibility study of a checklist and algorithm for initial nurse-led management.

Objective: Many people with inflammatory bowel disease (IBD) experience fatigue, pain and faecal incontinence that some feel are inadequately addressed. It is unknown how many have potentially reversible medical issues underlying these symptoms.

Methods: We conducted a study testing the feasibility of a patient-reported symptom checklist and nurse-administered management algorithm ('Optimise') to manage common medical causes of IBD-related fatigue, pain and faecal incontinence.

"Equity" in genomic health policies: a review of policies in the international arena.

Introduction: The field of genomics is rapidly evolving and has made significant impact on the diagnosis and understanding of rare and genetic diseases, in guiding precision medicine in cancer treatment, and in providing personalized risk assessment for disease development and treatment responses. However, according to the literature, there is widespread socio economic and racial inequities in the diagnosis, treatment, and in the use of genomic medicine services. This policy review sets out to explore the concept of equity in access to genomic care, the level of inclusion of equity and how it is addressed and what mechanisms are in place to achieve equity in genomic care in the international health policy.

Enhancing Sensitivity of Point-of-Care Thyroid Diagnosis via Computational Analysis of Lateral Flow Assay Images Using Novel Textural Features and Hybrid-AI Models.

Lateral flow assays are widely used in point-of-care diagnostics but face challenges in sensitivity and accuracy when detecting low analyte concentrations, such as thyroid-stimulating hormone biomarkers. This study aims to enhance assay performance by leveraging textural features and hybrid artificial intelligence models. A modified Gray-Level Co-occurrence Matrix, termed the Averaged Horizontal Multiple Offsets Gray-Level Co-occurrence Matrix, was utilised to compute the textural features of the biosensor assay images.

Effectiveness of the BNT162b2 XBB.1.5-adapted vaccine against COVID-19 hospitalization related to the JN.1 variant in Europe: a test-negative case-control study using the id.DRIVE platform.

Background: Prior studies have reported lower effectiveness of XBB.1.5-adapted vaccines against hospitalization related to the Omicron JN.