Publications by authors named "Hee-Youl Chai"

Synthetic data, generated using advanced artificial intelligence (AI) techniques, replicates the statistical properties of real-world datasets while excluding identifiable information. Although synthetic data does not consist of actual data points, it is derived from original datasets, thereby enabling analyses that yield results comparable to those obtained with real data. Synthetic datasets are evaluated based on their utility-a measure of how effectively they mirror real data for analytical purposes.

View Article and Find Full Text PDF
Article Synopsis
  • A study analyzed clinical data from 7,803 COVID-19 patients in South Korea, focusing on early symptoms, disease progression, and severity after quarantine release.
  • Results showed that 94.5% of patients were asymptomatic or mildly ill at admission, but severe cases had high fatality rates, with older age, male gender, and certain symptoms like fever and shortness of breath increasing the likelihood of critical illness.
  • The findings suggest that while most patients recovered or were asymptomatic, those with comorbidities faced greater risks of critical illness and death.
View Article and Find Full Text PDF

Objectives: Brucellosis is the most common bacterial zoonosis in the world. Multilocus variable-number tandem-repeat (VNTR) analysis (MLVA) is a molecular method for genotyping bacterial species. Brucella abortus biovar I was isolated from most of the brucellosis-suspected patients in Korea.

View Article and Find Full Text PDF

SunBio1 (SB1) is a novel polyethylene glycol-bovine hemoglobin conjugate. It is a small molecule that shows high oxygen-delivery capacity, and exhibits extended plasma half-life compared to hemoglobin alone, thus reducing renal toxicity. The aim of the present study was to evaluate potential neuroprotective effects of SB1 using a rat middle cerebral artery occlusion model.

View Article and Find Full Text PDF