A Randomized Clinical Study Investigating the Stain Removal Efficacy of Two Experimental Dentifrices.

Objective: This study aims to evaluate extrinsic tooth stain removal and whitening efficacy of two experimental dentifrices containing (i) 5% sodium tripolyphosphate (STP)/1% micronized alumina or (ii) 5% STP/1% micronized alumina with abrasive silica (ED2) compared to a regular fluoride dentifrice (RFD) following 8 weeks of use.

Materials And Methods: This was a single-center, randomized, controlled, blind, three-arm, stratified, parallel-group study. Eligible participants underwent clinical assessment of stain on the facial/lingual surfaces of maxillary and mandibular teeth using the modified Lobene stain index (MLSI), and shade of the facial surfaces of the central and lateral maxillary incisors using the VITA Bleachedguide 3D-Master (VITA) shade guide.

Informing etiological heterogeneity of mild cognitive impairment and risk for progression to dementia with plasma p-tau217.

Background: Mild cognitive impairment (MCI) is a clinical diagnosis representing early symptom changes with preserved functional independence. There are multiple potential etiologies of MCI. While often presumed to be related to Alzheimer's disease (AD), other neurodegenerative and non-neurodegenerative causes are common.

End-to-end deep-learning model for the detection of coronary artery stenosis on coronary CT images.

Purpose: We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe (≥70%) stenosis in the left anterior descending artery (LAD), right coronary artery (RCA) or left circumflex artery (LCX) in iodine contrast-enhanced ECG-gated coronary CT angiography (CCTA) scans.

Methods: From a database of 6293 CCTA scans, we used pre-existing curved multiplanar reformations (CMR) images of the LAD, RCA and LCX arteries to create end-to-end deep-learning models for the detection of moderate or severe stenoses. We preprocessed the images by exploiting domain knowledge and employed a transfer learning approach using EfficientNet, ResNet, DenseNet and Inception-ResNet, with a class-weighted strategy optimised through cross-validation.

Multilingualism and developmental language disorder in Southeast Asian speech-language pathology practice: An international survey.

Purpose: This study aims to explore the current practices and challenges faced by speech-language pathologists in three Southeast Asian countries (Malaysia, Indonesia, and Vietnam) in assessing and treating multilingual children with developmental language disorder.

Method: A survey was designed and administered to 110 speech-language pathologists across Malaysia, Indonesia, and Vietnam. The survey contained 60 questions on current practices and knowledge of existing resources for assessing and treating multilingual children with developmental language disorder.

Evaluating the readability of FDA-approved JAK inhibitor medication guides in dermatology.

Prior studies have highlighted significant challenges in the readability of patient educational materials in dermatology, which may represent a barrier to optimal treatment outcomes. As newer Janus kinase inhibitors (JAKi) gain FDA approval and are integrated into treatment regimens, it is crucial for patients to understand their usage, risks, and benefits. We evaluated the readability of FDA-approved JAKi medication guides to see if lessons from prior readability studies have been incorporated into these newer materials.