Publications by authors named "Dong‐gi Lee"

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  • The study examined sleep patterns in children with nocturnal enuresis (NE) using a brain-wave-sensing device.
  • Ten patients participated, providing data on their sleep and NE occurrences over a week while wearing the MUSE-S™ device.
  • Results indicated that sleep stages affect arousal thresholds; NE events were less responsive to alarms during deep sleep but more responsive during light sleep, suggesting that timing and sleep stage management could improve treatment.
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  • Mild cognitive impairment (MCI) is an early sign of dementia that requires tailored treatment based on its subtypes, namely Alzheimer's-related cognitive impairment (ADCI) and subcortical vascular cognitive impairment (SVCI).
  • Recent advancements using plasma protein biomarkers and machine learning (ML) can enhance the diagnosis and management of MCI by revealing subtype characteristics, although many existing ML approaches fail to account for important protein-protein interactions (PPIs).
  • The study introduces a new ML model called the eXplainable Graph Propagational Network (XGPN), which better captures global interactions between proteins, leading to improved classification of MCI subtypes with explainable results.
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  • The study investigates the rare occurrence of liver abscesses in patients diagnosed with acute prostatitis, analyzing data from 474 cases over 16 years.
  • Out of these, 15 patients (5.5%) were found to have liver abscesses, and these patients tended to be younger and had a higher prevalence of diabetes compared to those without liver abscesses.
  • The findings suggest that when acute prostatitis patients show abnormal liver function tests and specific pathogens, there should be a thorough assessment for potential infections in the liver.
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Accurate and reliable hydrological forecasts play a pivotal role in ensuring water security, facilitating flood preparedness, and supporting agriculture activities. This study investigates the potential of hydrological forecasting in South Korea, focusing on medium-range lead times ranging from 1 to 10 days. The methodology involves leveraging a Transformer neural network, a model entirely based on attention mechanisms.

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  • Supervised machine learning models are used to predict diseases but face challenges with class imbalance in training, prompting the use of a conditional normalizing flow model for better predictions.
  • This study utilized health records from 706 South Korean individuals, focusing on six chronic diseases, particularly evaluating the model's performance in classifying diabetes which had a low occurrence rate (about 2%).
  • Results showed that the conditional normalizing flow model outperformed traditional supervised models, achieving better metrics for classifying diabetes and other chronic diseases, indicating its effectiveness in addressing class imbalance in medical data.
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The integration of multiomics data with detailed phenotypic insights from electronic health records marks a paradigm shift in biomedical research, offering unparalleled holistic views into health and disease pathways. This review delineates the current landscape of multimodal omics data integration, emphasizing its transformative potential in generating a comprehensive understanding of complex biological systems. We explore robust methodologies for data integration, ranging from concatenation-based to transformation-based and network-based strategies, designed to harness the intricate nuances of diverse data types.

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ATB1651 gel is an antifungal drug candidate that enhances antifungal activity through substitution of several aryl rings, alkyl chains, and methyl groups. To ensure safety of use of ATB1651 gel, assessment of its potentially toxic side effects is necessary. In this study, we examined the repeated-dose toxicity of ATB1651 gel to Yucatan minipigs in accordance with the Good Laboratory Practice guidelines.

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Extreme ultraviolet (EUV) lithography uses reflective optics and a thick mask absorber, leading to mask 3D (M3D) effects. These M3D effects cause disparities in the amplitudes and phases of EUV mask diffractions, impacting mask imaging performance and reducing process yields. Our findings demonstrate that wrinkles in the EUV pellicle can exacerbate M3D effects.

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An extreme ultraviolet (EUV) pellicle is an ultrathin membrane at a stand-off distance from the reticle surface that protects the EUV mask from contamination during the exposure process. EUV pellicles must exhibit high EUV transmittance, low EUV reflectivity, and superior thermomechanical durability that can withstand the gradually increasing EUV source power. This study proposes an optimal range of optical constants to satisfy the EUV pellicle requirements based on the optical simulation results.

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  • The project is a partnership between the IHCC and DAC aimed at creating a genomic risk assessment tool for Alzheimer's disease that incorporates data from diverse ethnic backgrounds.
  • The GIRA model combines genetic factors, like polygenic risk scores and specific gene haplotypes, with non-genetic data such as age and sex.
  • Early findings show the GIRA model can effectively identify individuals at higher risk for Alzheimer's, with implications for future clinical use and research.
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Diffuse sclerosing variant papillary thyroid carcinoma (DSVPTC) is commonly observed in young patients, with a median age at diagnosis in the third decade of life. Further, the risk of recurrence is higher for DSVPTC than for classical PTC. Therefore, this study aimed to describe the clinicopathological and genetic characteristics of patients of different ages with DSVPTC.

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Alzheimer's disease (AD) is emerging as a serious problem with the rapid aging of the population, but due to the unclear cause of the disease and the absence of therapy, appropriate preventive measures are the next best thing. For this reason, it is important to early detect whether the disease converts from mild cognitive impairment (MCI) which is a prodromal phase of AD. With the advance in brain imaging techniques, various machine learning algorithms have become able to predict the conversion from MCI to AD by learning brain atrophy patterns.

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The extreme ultraviolet (EUV) pellicle is a freestanding membrane that protects EUV masks from particle contamination during EUV exposure. Although a high EUV transmittance of the pellicle is required to minimize the loss of throughput, the degradation of EUV transmittance during the extended exposure of the pellicle has been recently reported. This may adversely affect the throughput of the lithography process.

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The development of functional neural circuits in the central nervous system (CNS) requires the production of sufficient numbers of various types of neurons and glial cells, such as astrocytes and oligodendrocytes, at the appropriate periods and regions. Hence, severe neuronal loss of the circuits can cause neurodegenerative diseases such as Huntington's disease (HD), Parkinson's disease (PD), Alzheimer's disease (AD), and Amyotrophic Lateral Sclerosis (ALS). Treatment of such neurodegenerative diseases caused by neuronal loss includes some strategies of cell therapy employing stem cells (such as neural progenitor cells (NPCs)) and gene therapy through cell fate conversion.

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  • The KEOPS complex is crucial for various functions in eukaryotes, but its specific role in fungal pathogens, particularly Cryptococcus neoformans, is not well understood.
  • Researchers identified four core components of the KEOPS complex in C. neoformans and found that deleting three of them (Pcc1, Kae1, and Bud32) severely affected growth, development, stress responses, and virulence, indicating their essential roles in pathogenicity.
  • Furthermore, the study revealed that the KEOPS complex has unique functions in both modifying tRNA and regulating gene expression, particularly in ergosterol biosynthesis, suggesting it could be a target for new antifungal drugs.
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Extreme ultraviolet (EUV) pellicles must have an EUV reflectance (EUVR) below 0.04% to prevent the reduction of critical dimension (CD). However, pellicle wrinkles cause localized CD variation by locally amplifying the EUVR.

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Background and objectives: Bladder stimulation upregulates neurotrophins associated with voiding reflex. Bacterial cystitis can be a stimulant that activates this system, resulting in a pathological state. Phosphorylated responsive element of binding protein (p-CREB) is a pivotal transcriptional factor in the neurotrophin signaling cascade.

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  • A new brain age model based on machine learning was developed to detect amyloid and validate its accuracy using clinical data from 650 participants in South Korea, showing it can estimate brain age with a mean error of about 5.68 years.
  • The study found that an increased brain age correlates with higher amyloid levels and worse cognitive function, indicating its potential as a predictor of cognitive decline.
  • The model replicated earlier findings, successfully distinguishing between different stages of dementia and amyloid status, suggesting it could be useful for monitoring cognitive impairment in older adults.
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A novel and facile post-mortem interval (PMI) biosensor was fabricated using a double-label strategy to detect the glyceraldehyde 3-phosphate dehydrogenase (GAPDH) biomarker. A monoclonal anti-GAPDH antibody was immobilized on a surface label containing cadmium selenide quantum dots (CdSe QDs) on a cysteamine graphene oxide (Cys-GO) self-assembled monolayer. Glucose oxidase (GOx) was used as a signal label to conjugate with GAPDH.

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Systemic candidiasis, which is mainly caused by Candida albicans, is a serious acute fungal infection in the clinical setting. In a previous study, we reported that compound 22h (designated as AB-22 in this study), a vinyl sulfate compound, is a fast-acting fungicidal agent against a broad spectrum of fungal pathogens. In this study, we aimed to further analyze the in vitro and in vivo efficacy of AB-22 against filamentation, biofilm formation, and virulence of C.

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  • - The BICWALZS study enrolled 1,013 participants aged around 72.8 years to explore chronic cerebrovascular diseases related to Alzheimer's, with a majority being female (65.0%) from October 2016 to December 2020.
  • - Participants underwent a comprehensive series of assessments, including clinical evaluations, blood tests, neuropsychological tests, MRI, PET scans, and genetic sampling, focusing on cognitive health and dementia types.
  • - Findings highlighted varying cognitive statuses among participants, with specific classification into groups such as mild cognitive impairment and different dementia types, aligning with existing dementia research, emphasizing the study's methodology and baseline results.
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Purpose: The aim of this study was to assess the performance of a mobile acoustic Uroflowmetry (UFM) application compared with standard UFM in the pediatric population.

Methods: A mobile acoustic UFM application represents a noninvasive method to estimate the urine flow rate by recording voiding sounds with a smartphone. Male pediatric patients who were undergoing UFM testing were prospectively recruited, and the voiding sounds were recorded and analyzed.

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Renal arteriovenous malformation (AVM) is a rare disease and is difficult to be diagnosed by conventional methods because of its rarity. In this study, we investigated the diagnostic clues, and made an algorithm for the better diagnosis of renal AVM. We reviewed 13 patients who were diagnosed with AVM by using renal angiography from 1986 to 2020 at our institutes.

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Urothelial tumors are typically a disease affecting elderly individuals and are rare in young patients. Moreover, upper urinary tract urothelial carcinoma is extremely rare in the young age group. In this study, we present a case of urothelial cell carcinoma of the renal pelvis and ureter in a young man without risk factors of urothelial carcinoma, which was misdiagnosed as ureteropelvic junction obstruction and treated with a laparoscopic pyeloplasty.

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Due to the increased morbidity and mortality by fungal infections and the emergence of severe antifungal resistance, there is an urgent need for new antifungal agents. Here, we screened for antifungal activity in our in-house library through the minimum inhibitory concentration test and derived two hit compounds with moderate antifungal activities. The hit compounds' antifungal activities and drug-like properties were optimized by substituting various aryl ring, alkyl chain, and methyl groups.

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