Optimizing Modified Barium Swallow Exam Workflow: Automating Pre-Analysis Video Sorting in Swallowing Function Assessment.

Modified Barium Swallow (MBS) exams, performed using video-fluoroscopy, an X-ray imaging technique, are essential for assessing swallowing function. They visualize the barium bolus (contrast agent) during the swallowing process in the head and neck area, thereby providing crucial insights into the dynamics of swallowing. Typically, these exams include both diagnostic anteroposterior (AP) and lateral planes, in addition to non-diagnostic "scout" films.

Investigation regarding the physiological effects of cobalt on physiological functions in Drosophila, crayfish, and crab: Behavioral, cardiac, neural, and synaptic properties.

Cobalt, a metallic element found naturally in the earth's crust, is essential to survival. It is the active center of cobalamins such as vitamin B12 and is also a micronutrient for bacteria, algae, and fungi. The effects of cobalt (II) chloride (CoCl), the inorganic form of cobalt, are dependent on the dosage.

Sodium valproate, a potential repurposed treatment for the neurodegeneration in Wolfram syndrome (TREATWOLFRAM): trial protocol for a pivotal multicentre, randomised double-blind controlled trial.

Introduction: Wolfram syndrome (Spectrum Disorder) is an ultra-rare monogenic form of progressive neurodegeneration and diabetes mellitus. In common with most rare diseases, there are no therapies to slow or stop disease progression. Sodium valproate, an anticonvulsant with neuroprotective properties, is anticipated to mediate its effect via alteration of cell cycle kinetics, increases in p21 expression levels and reduction in apoptosis and increase in Wolframin protein expression.

Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs.

Dose-finding trials are a key component of the drug development process and rely on a statistical design to help inform dosing decisions. Triallists wishing to choose a design require knowledge of operating characteristics of competing methods. This is often assessed using a large-scale simulation study with multiple designs and configurations investigated, which can be time-consuming and therefore limits the scope of the simulation.

Differentiating between renal medullary and clear cell renal carcinoma with a machine learning radiomics approach.

Background: The objective of this study was to develop and validate a radiomics-based machine learning (ML) model to differentiate between renal medullary carcinoma (RMC) and clear cell renal carcinoma (ccRCC).

Methods: This retrospective Institutional Review Board -approved study analyzed CT images and clinical data from patients with RMC (n = 87) and ccRCC (n = 93). Patients without contrast-enhanced CT scans obtained before nephrectomy were excluded.