High Body Mass Index is Associated with Lower Adalimumab Serum Levels and Higher Disease Activity in Noninfectious Uveitis.

Purpose: Adalimumab, a TNF-alpha inhibitor, is the only FDA-approved biologic for non-infectious uveitis (NIU). However, treatment responses vary, potentially due to interindividual pharmacokinetic differences influenced by body mass index (BMI). This study aimed to evaluate the impact of BMI on adalimumab serum trough levels and therapeutic efficacy in patients with NIU.

Separation of metals using formation of DES-DES biphasic systems.

A biphasic system composed of two deep eutectic solvents (DES) sharing a common hydrogen-bond donor exhibits a tuneable phase behavior and efficient metal partitioning, yielding an improved separation selectivity of trivalent from divalent metal ions compared to the equivalent aqueous system.

CT metal artefact reduction for hip and shoulder implants using novel algorithms and machine learning: A systematic review with pairwise and network meta-analyses.

Introduction: Many tools have been developed to reduce metal artefacts in computed tomography (CT) images resulting from metallic prosthesis; however, their relative effectiveness in preserving image quality is poorly understood. This paper reviews the literature on novel metal artefact reduction (MAR) methods targeting large metal artefacts in fan-beam CT to examine their effectiveness in reducing metal artefacts and effect on image quality.

Methods: The PRISMA checklist was used to search for articles in five electronic databases (MEDLINE, Scopus, Web of Science, IEEE, EMBASE).

Innovative Learning Activities to Prepare Radiography Students for Final-Year Clinical Placements: An Educational Perspective.

Introduction/background: The aim of this educational perspective is to describe a program of learning activities developed to prepare radiography students for final year clinical placements. Authors' reflections are integrated with student feedback to discuss the educational value and feasibility of implementing the activities presented.

Methods: A program of six components was developed: (1) Simulation-based learning, (2) clinical supervision, (3) tutorials and workshops, (4) medical imaging facility learning tours (5) lecture series and (6) journal club.