Sojeong Song
Sungkyunkwan University · Medicine
About the Lab
Professor Sojeong Song's research lab focuses on retinal diseases, particularly age-related macular degeneration (AMD) and diabetic retinopathy, with an emphasis on epidemiological trends, risk factor identification, and advanced diagnostic and therapeutic strategies in the Korean population. The lab investigates novel drug delivery systems using self-assembled peptide nanostructures for targeted, enzyme-responsive release in ocular diseases, combining biocompatibility with precise intracellular delivery. Research also spans imaging technologies and clinical outcomes to improve early detection and treatment efficacy in diabetic and degenerative retinal conditions.
Research Overview
Research Output Trend
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Selected Papers
15In this study, the prevalence of early AMD was similar to other studies though the prevalence of late AMD was low. High blood pressure as well as age was a risk factor of early AMD. South Koreans may have a higher prevalence of PCV than white populations. These findings provide preliminary information for further investigation of AMD in South Koreans.
AIMS/INTRODUCTION: The present study aimed to analyze the temporal changes in the prevalence, screening rate, visual impairments and treatment patterns of diabetic retinopathy in the Korean population over 8 years. MATERIALS AND METHODS: This was a retrospective population-based study of Korean national health insurance beneficiaries aged 30 years or older with type 2 diabetes, obtained from the Korean National Health Insurance Claims database from 2006 to 2013 (n = 1,655,495 in 2006 and 2,720,7
For the past several decades, tremendous efforts have been made to decrease the complications of diabetes, including diabetic retinopathy. New diagnostic modalities like ultrawide field fundus fluorescein angiography and spectral domain optical coherence tomography has allowed more accurate diagnosis of early diabetic retinopathy and diabetic macular edema. Antivascular endothelial growth factors are now extensively used to treat diabetic retinopathy and macular edema with promising results. The
Self-assembled peptide nanostructures recently have gained much attention as drug delivery systems. As biomolecules, peptides have enhanced biocompatibility and biodegradability compared to polymer-based carriers. We introduce a peptide nanoparticle system containing arginine, histidine, and an enzyme-responsive core of repeating GLFG oligopeptides. GLFG oligopeptides exhibit specific sensitivity towards the enzyme cathepsin B that helps effective controlled release of cargo molecules in the cyt
Purpose: To identify the prevalence, risk factors, and subtypes of age-related macular degeneration (AMD) in a screened South Korean population. Methods: A total of 10,890 participants (aged 50–92) who underwent a health check-up at Kangbuk Samsung Hospital from January to December 2006 were included. Fundus photographs and systemic risk factors were assessed. Subtype frequencies of neovascular AMD were recorded according to angiograms. AMD was defined in accord with the international classifica
The lower frequency of moderate BCVA improvement for those with good preoperative BCVA and phakic lens status might influence visual improvement, and therefore, a recommendation for surgery.
Ultra-wide-field fundus imaging (UFI) provides comprehensive visualization of crucial eye components, including the optic disk, fovea, and macula. This in-depth view facilitates doctors in accurately diagnosing diseases and recommending suitable treatments. This study investigated the application of various deep learning models for detecting eye diseases using UFI. We developed an automated system that processes and enhances a dataset of 4697 images. Our approach involves brightness and contrast
In addition to traditional risk factors, insulin resistance was associated with an increased risk of DR in Koreans with type 2 diabetes.
Drusen are the main aspect of detecting age-related macular degeneration (AMD). Ophthalmologists can evaluate the condition of AMD based on drusen in fundus images. However, in the early stage of AMD, the drusen areas are usually small and vague. This leads to challenges in the drusen segmentation task. Moreover, due to the high-resolution fundus images, it is hard to accurately predict the drusen areas with deep learning models. In this paper, we propose a multi-scale deep learning model for dr
This report provides a detailed description of the methodology for ophthalmic examinations according to the Korea National Health and Nutrition Examination Survey (KNHANES) VII and VIII (from 2017 to 2021). The KNHANES is a nationwide survey which has been performed since 1998 in representatives of whole Korean population. During the KNHANES VII and VIII, in addition to the ophthalmic questionnaire, intraocular pressure measurement, visual field test, auto refractometry, axial length and optical
Peptide nanostructure has been widely explored for drug-delivery systems in recent studies. Peptides possess comparatively lower cytotoxicity and are more efficient than polymeric carriers. Here, we propose a peptide nanorod system, composed of an amphiphilic oligo-peptide RH 3 F 8 (Arg–His 3 –Phe 8 ), as a drug-delivery carrier. Arginine is an essential amino acid in typical cell-penetration peptides, and histidine induces endo- and lysosomal escape because of its proton sponge effect. Phenylal
PROBLEM: Low-quality fundus images with complex degredation can cause costly re-examinations of patients or inaccurate clinical diagnosis. AIM: This study aims to create an automatic fundus macular image enhancement framework to improve low-quality fundus images and remove complex image degradation. METHOD: We propose a new deep learning-based model that automatically enhances low-quality retinal fundus images that suffer from complex degradation. We collected a dataset, comprising 1068 pairs of
Research Areas
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