Publications by authors named "M Sheng-Yang Lee"
Background: Elevation of cerebrospinal fluid (CSF) tau is a feature of Alzheimer's disease (AD) and is being explored as a biomarker of AD and other tauopathies. The aim of this study was to elucidate the in vivo effects of DA-7503, a potent and selective tau aggregation inhibitor, and its pharmacodynamics on CSF tau in transgenic mouse models of Alzheimer's disease and primary tauopathies.
Method: TauP301L-BiFC mice expressing full-length human tau with the P301L mutation were orally administrated with DA-7503 for 1 month.
Background: Multispecialty Interprofessional Team (MINT) Memory Clinics build capacity for dementia care within primary care. This presentation will provide an overview of the MINT care model and results of a process evaluation of the implementation of the model in three provinces in Canada using the Research Medical Council framework for evaluating complex interventions.
Methods: 178 healthcare providers (HCP) were trained to establish 10 MINT clinics across three Canadian provinces.
Objective: To prospectively evaluate the effect of accelerated deep learning-based reconstruction (Accel-DL) on improving brain magnetic resonance imaging (MRI) quality and reducing scan time compared to that in conventional MRI.
Materials And Methods: This study included 150 participants (51 male; mean age 57.3 ± 16.
Radiofrequency ablation (RFA) is a minimally invasive treatment modality used as an alternative to surgery in patients with benign thyroid nodules, recurrent thyroid cancers (RTCs), and primary thyroid microcarcinomas. The Korean Society of Thyroid Radiology (KSThR) initially developed recommendations for the optimal use of RFA for thyroid tumors in 2009 and revised them in 2012 and 2017. As new meaningful evidence has accumulated since 2017 and in response to a growing global interest in the use of RFA for treating malignant thyroid lesions, the task force committee members of the KSThR decided to update the guidelines on the use of RFA for the management of RTCs based on a comprehensive analysis of current literature and expert consensus.
View Article and Find Full Text PDFBackground: Gene signatures derived from transcriptomic-causal networks offer potential for tailoring clinical care in cancer treatment by identifying predictive and prognostic biomarkers. This study aimed to uncover such signatures in metastatic colorectal cancer (CRC) patients to aid treatment decisions.
Methods: We constructed transcriptomic-causal networks and integrated gene interconnectivity into overall survival (OS) analysis to control for confounding genes.