Objectives: To describe longitudinal oral health symptom patterns of patients receiving concurrent chemotherapy and radiation therapy for head and neck cancer (HNC) and examine associations between phenotypic characteristics, including human papillomavirus (HPV) status and oral health symptoms.
Sample & Setting: A pilot retrospective longitudinal chart review (N = 270) of patients with HNC at a northeastern U.S.
Purpose: Adherence to dietary intake guidelines is recommended for optimal nutrition and outcomes in breast cancer survivors. The purpose of this study was to examine dietary quality in a cohort of breast cancer survivors related to current guidelines, guiding further education-based research.
Methods: This exploratory evaluation examined compliance with current dietary guidelines.
Background: Cancer pain remains highly prevalent and persistent throughout survivorship, and it is crucial to investigate the potential of leveraging the advanced features of mobile health (mHealth) apps to empower individuals to self-manage their pain.
Objective: This review aims to comprehensively understand the acceptability, users' experiences, and effectiveness of mHealth apps in supporting cancer pain self-management.
Methods: We conducted an integrative review following Souza and Whittemore and Knafl's 6 review processes.
J-Resolved (J-Res) nuclear magnetic resonance (NMR) spectroscopy is pivotal in NMR-based metabolomics, but practitioners face a choice between time-consuming high-resolution (HR) experiments or shorter low-resolution (LR) experiments which exhibit significant peak overlap. Deep learning neural networks have been successfully used in many fields to enhance quality of natural images, especially with regard to resolution, and therefore offer the prospect of improving two-dimensional (2D) NMR data. Here, we introduce the J-RESRGAN, an adapted and modified generative adversarial network (GAN) for image super-resolution (SR), which we trained specifically for metabolomic J-Res spectra to enhance peak resolution.
View Article and Find Full Text PDFBackground: Tuberous sclerosis complex (TSC) is a multi-system genetic disease that causes benign tumors in the brain and other vital organs. The most debilitating symptoms result from involvement of the central nervous system and lead to a multitude of severe symptoms including seizures, intellectual disability, autism, and behavioral problems. TSC is caused by heterozygous mutations of either the TSC1 or TSC2 gene and dysregulation of mTOR kinase with its multifaceted downstream signaling alterations is central to disease pathogenesis.
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