Publications by authors named "Hoon Seo"
Article Synopsis
- - Electromyography (EMG) is being explored as a way to predict the severity of knee osteoarthritis (OA) by analyzing muscle activation patterns during walking, linked to patient-reported measures like WOMAC and VAS.
- - This study collected EMG data from the lower leg muscles of 84 patients with advanced knee OA to analyze how muscle activity and co-contraction relate to functional limitations experienced by these patients.
- - Using machine-learning models, the researchers found high accuracy (coefficient of determination) in predicting WOMAC and VAS scores based on muscle activity, revealing that greater muscle co-contraction correlates with more severe OA symptoms.
Background: Alzheimer's Disease (AD) is a progressive memory disorder that causes irreversible cognitive decline. Given that there is currently no cure, it is critical to detect AD in its early stage during the disease progression. Recently, many statistical learning methods have been presented to identify cognitive decline with temporal data, but few of these methods integrate heterogeneous phenotype and genetic information together to improve the accuracy of prediction.
View Article and Find Full Text PDFMotivation: Breast cancer is a type of cancer that develops in breast tissues, and, after skin cancer, it is the most commonly diagnosed cancer in women in the United States. Given that an early diagnosis is imperative to prevent breast cancer progression, many machine learning models have been developed in recent years to automate the histopathological classification of the different types of carcinomas. However, many of them are not scalable to large-scale datasets.
View Article and Find Full Text PDFThe aim of the study was to evaluate the clinical and histopathological characteristics of patients with post burn pruritus. The authors took skin samples from 62 burn patients with or without pruritus. The measured skin condition includes thickness and paresthesia.
View Article and Find Full Text PDFArticle Synopsis
- A systematic study was conducted on metal-assisted chemical etching (MacEtch) to create vertical silicon (Si) microwire arrays, focusing on optimizing various parameters like metal film thickness and morphology.
- The resulting Si microwires reached lengths of up to 23.2 μm and showed improved performance when used in solar cells, achieving a conversion efficiency of 13.0%, an open-circuit voltage of 547.7 mV, and a short-circuit current density of 33.2 mA/cm².
- This research demonstrates that using MacEtch for high-quality Si microwires can lead to the development of affordable and efficient solar cell technology.
Glycans, which decorate cell surfaces, play crucial roles in various physiological events involving cell surface recognition. Despite the importance of surface glycans, most analyses have been performed using total cells or whole membranes rather than plasma membranes due to difficulties related to isolation. In the present study, we employed an adhesion-based method for plasma membrane isolation to analyze N-glycans on cell surfaces.
View Article and Find Full Text PDFPurpose: Although the use of a minimally invasive approach in esophageal cancer surgery is gradually increasing, it is generally performed using cervical anastomosis because of the difficulty of intrathoracic anastomosis. Here, we describe our technique for performing intrathoracic esophagogastrostomy using a typical video-assisted thoracic surgery (VATS) approach.
Methods: Between September 2009 and July 2011, VATS esophagectomy and intrathoracic anastomosis was performed in 31 esophageal cancer patients with a utility incision made by a segmental rib resection to enhance the extracorporeal insertion of the end-to-end stapler.