1.Surveillance of avian influenza viruses in migratory wild birds in South Korea, 2019–2025
Jae Kyung LEE ; Min Beom KIM ; Seo Hyeon KIM ; Song Hwi JEONG ; HaanWoo SUNG ; Hyung-Kwan JANG ; Kang-Seuk CHOI ; Daesung YOO ; Se-Hee AN ; Gyeong-Beom HEO ; Yong-Myung KANG ; Youn-Jeong LEE ; Kwang-Nyeong LEE ; Young Ju LEE
Journal of Veterinary Science 2026;27(2):07-2025
Objective:
We investigated the distribution of AI viruses in fecal samples from wild bird habitats (and nearby poultry-farm areas) surveyed between September and March from 2019 to 2025 and identified associated epidemiological risk factors.
Methods:
Samples were screened for influenza A (M, H5, H7) genes using real-time reverse transcription polymerase chain reaction (PCR), subjected to virus isolation in embryonated chicken eggs, and subtyped by PCR and sequencing. Host species were identified through DNA barcoding. Relative risks (RRs) with 95% confidence intervals were estimated for province, month, and waterfowl density.
Results:
Overall prevalence of HPAI and low pathogenic AI (LPAI) virus was 0.10% and 3.21%, respectively. HPAI virus was continuously isolated since 2020–2021, except 2019– 2020, while LPAI prevalence steadily increased (3.01%–4.35%). Twelve hemagglutinin (H1–H12) subtypes were identified in 1,722 isolates, and H3 (16.5%) was the most prevalent, followed by H5 (11.1%) and H7 (5.2%). LPAI H5N3 (55.7%) and H7N7 (75.5%) were the predominant H5 and H7 subtypes, respectively. Detection was higher in western coastal provinces, and higher mallard/spot-billed duck density and sampling in September– December were associated with increased risk.
Conclusions
and Relevance: Continued surveillance of migratory-bird habitats can provide early warning of HPAIV incursions and support targeted biosecurity measures in high-risk regions and seasons.
2.AI-driven Medical Care: Evaluation of Large Language Models in Generating Personalized Stroke Education Materials
Surim YOON ; Woo-Keun SEO ; Kyungseo KIM ; Seongvin JU ; Hyun Kyung KIM ; Hyung Jun KIM ; Jong-Won CHUNG ; Oh Young BANG ; Gyeong-Moon KIM ; Eun Young LEE ; Youngrak CHOI ; Soyoung YOO
Healthcare Informatics Research 2026;32(2):179-189
Objectives:
Large language models (LLMs) demonstrate remarkable potential in healthcare communication. However, whether they can process complex, high-volume medical information, such as stroke-related content, remains insufficiently validated. This study aimed to evaluate the natural language processing capabilities of LLMs in handling such content and to develop an evaluation instrument.
Methods:
A survey compared educational materials generated by two LLMs (ChatGPT 4.0 and Claude 3) with neurologist-authored content on stroke. The materials were based on two clinical scenarios representing distinct stroke etiologies: cardioembolism and large-artery atherosclerosis. They were evaluated in terms of accuracy, legality, ethics, comprehensiveness, and information delivery. Scores for comprehensiveness and information delivery were compared according to participants’ agreement with the use of LLMs in healthcare.
Results:
ChatGPT received the highest scores across all domains, except for legality in Scenario 2. In Scenario 1, the ranking for accuracy and summarization of clinical information was, from highest to lowest, ChatGPT, Claude, and the neurologist (η2 = 0.140, p < 0.001; η2 = 0.175, p < 0.001). The same hierarchy was observed in Scenario 2 for accuracy (η2 = 0.077, p < 0.001) and summarization (η2 = 0.194, p < 0.001). Participants who agreed with the use of LLMs in healthcare assigned higher scores for the comprehensiveness (Scenario 1, p = 0.005; Scenario 2, p = 0.007) and information delivery (Scenario 1, p = 0.003; Scenario 2, p = 0.026) of ChatGPT-generated materials than participants who did not agree.
Conclusions
LLMs demonstrated adequate capability to convey complex content, such as stroke-related information, in an accessible and understandable manner for non-experts.
3.Trends and Sociodemographic Characteristics of Nontuberculous Mycobacterial Infections in South Korea: A Nationwide NHIS-Based Study (2010−2022)
Jeong Mi SEO ; Sungchan KANG ; Taeyoon LIM ; So-mi SHIN ; Jake WHANG ; Jinsoo KO ; Gyeong In LEE
Tuberculosis and Respiratory Diseases 2026;89(2):306-320
Background:
In South Korea, nontuberculous mycobacteria (NTM) is not a notifiable disease, while the absence of a national surveillance system hampers accurate assessment of its incidence. Therefore, this study utilized National Health Insurance Service (NHIS) claims data to investigate nationwide trends in NTM occurrence over the past decade.
Methods:
We used NHIS claims (2010−2022) to assemble a cohort with International Classification of Diseases, 10th Revision A31 (A31.0, A31.1, A31.8, A31.9). For incidence, cases diagnosed in 2010−2011 were excluded. Incidence was estimated under three definitions: ≥2 outpatient visits or ≥1 inpatient admission with A31 during the study period; same as A, but with ≤180 days between visits; meeting B plus ≥1 antibiotic prescription within 180 days (treatment initiation). Age-standardized prevalence and incidence were calculated using the 2010 Korean population.
Results:
A total of 178,287 newly diagnosed NTM cases were identified from 2012 to 2022 (mean age 51.4 years; 66.8 % female). The age-standardized prevalence increased from 15.5 to 69.8 per 100,000 in 2010 to 2022. Incidence peaked in 2017 (38.9/100,000), then declined to 26.9 in 2022. Age-specific incidence of NTM infection showed distinct sex-related patterns. Among men, incidence was consistently concentrated in older adults, particularly those ≥80 years, throughout 2012−2022. In contrast, women experienced a marked epidemiologic shift beginning in 2017, with incidence in their 20s and 30s surpassing older age groups. Medical Aid beneficiaries consistently showed higher incidence rates. By region, Daejeon and Chungnam showed the greatest increase in incidence rates in 2022, compared to 2012.
Conclusion
NTM infection is increasing in Korea, with distinct epidemiologic patterns by sex, age, and socioeconomic status. The rising burden, especially among young women and the socioeconomically disadvantaged, warrants targeted public health strategies.
4.Application and Effects of a Digital Multimedia-Based Educational Intervention for Hematopoietic Stem Cell Donors:A Quasi-Experimental Study
Jung Hee KIM ; Ji Sun KIM ; Ye Ji SEO ; Gyeong Ju LEE ; Da Mi YEOM
Journal of Korean Clinical Nursing Research 2026;32(1):85-93
Purpose:
This study aimed to develop a digital multimedia-based educational intervention for hematopoietic stem cell (HSC) donors and to evaluate its effects on anxiety, knowledge, attitudes toward hematopoietic stem cell donation, and educational satisfaction.
Methods:
This quasi-experimental study employed a nonequivalent control group non-synchronized pretest-posttest design. Participants were 60 HSC donors admitted to a general hospital in Seoul, Republic of Korea, between April and December 2024. The participants were assigned to an experimental group (n=30) and a control group (n=30). The experimental group received a digital multimediabased educational intervention in addition to the usual education using a standardized handout, whereas the control group received the usual education only. The intervention was provided in three sessions: on the day of admission (20 minutes), on the day of stem cell collection (10 minutes), and on the day of discharge (10 minutes). Data were collected at admission and discharge using structured questionnaires. Anxiety was analyzed using generalized estimating equations (GEE), knowledge and attitudes using mixed ANOVA, and educational satisfaction using an independent t-test.
Results:
The experimental group showed significantly lower anxiety (p=.048) and higher knowledge levels (p=.005) than the control group. No significant differences were found between the groups in attitudes toward donation or educational satisfaction.
Conclusion
The digital multimedia-based educational intervention was effective in reducing anxiety and improving knowledge among HSC donors. This intervention may enhance donors’ understanding of the donation process and support a more positive donation experience. Further multicenter studies with larger samples and longitudinal follow-up measurements are needed to verify the long-term effects and generalizability of the intervention.
6.Machine Learning-assisted Quantitative Mapping of Intracortical Axonal Plasticity Following a Focal Cortical Stroke in Rodents
Hyung Soon KIM ; Hyo Gyeong SEO ; Jong Ho JHEE ; Chang Hyun PARK ; Hyang Woon LEE ; Bumhee PARK ; Byung Gon KIM
Experimental Neurobiology 2023;32(3):170-180
Stroke destroys neurons and their connections leading to focal neurological deficits. Although limited, many patients exhibit a certain degree of spontaneous functional recovery. Structural remodeling of the intracortical axonal connections is implicated in the reorganization of cortical motor representation maps, which is considered to be an underlying mechanism of the improvement in motor function. Therefore, an accurate assessment of intracortical axonal plasticity would be necessary to develop strategies to facilitate functional recovery following a stroke. The present study developed a machine learning-assisted image analysis tool based on multi-voxel pattern analysis in fMRI imaging. Intracortical axons originating from the rostral forelimb area (RFA) were anterogradely traced using biotinylated dextran amine (BDA) following a photothrombotic stroke in the mouse motor cortex. BDA-traced axons were visualized in tangentially sectioned cortical tissues, digitally marked, and converted to pixelated axon density maps. Application of the machine learning algorithm enabled sensitive comparison of the quantitative differences and the precise spatial mapping of the post-stroke axonal reorganization even in the regions with dense axonal projections. Using this method, we observed a substantial extent of the axonal sprouting from the RFA to the premotor cortex and the peri-infarct region caudal to the RFA. Therefore, the machine learningassisted quantitative axonal mapping developed in this study can be utilized to discover intracortical axonal plasticity that may mediate functional restoration following stroke.
7.SARS‑CoV‑2 Omicron variant causes brain infection with lymphoid depletion in a mouse COVID‑19 model
Na Yun LEE ; Youn Woo LEE ; Seung‑Min HONG ; Dain ON ; Gyeong Min YOON ; See‑He AN ; Ki Taek NAM ; Jun‑Young SEO ; Jeon‑Soo SHIN ; Yang‑Kyu CHOI ; Seung Hyun OH ; Jun‑Won YUN ; Ho Young LEE ; Kang‑Seuk CHOI ; Je Kyung SEONG ; Jun Won PARK
Laboratory Animal Research 2023;39(2):165-171
Background:
The Omicron variant has become the most prevalent SARS-CoV-2 variant. Omicron is known to induce milder lesions compared to the original Wuhan strain. Fatal infection of the Wuhan strain into the brain has been well documented in COVID-19 mouse models and human COVID-19 cases, but apparent infections into the brain by Omicron have not been reported in human adult cases or animal models. In this study, we investigated whether Omicron could spread to the brain using K18-hACE2 mice susceptible to SARS-CoV-2 infection.
Results:
K18-hACE2 mice were intranasally infected with 1 × 105 PFU of the original Wuhan strain and the Omicron variant of SARS-CoV-2. A follow-up was conducted 7 days post infection. All Wuhan-infected mice showed > 20% body weight loss, defined as the lethal condition, whereas two out of five Omicron-infected mice (40%) lost > 20% body weight. Histopathological analysis based on H&E staining revealed inflammatory responses in the brains of these two Omicron-infected mice. Immunostaining analysis of viral nucleocapsid protein revealed severe infection of neuron cells in the brains of these two Omicron-infected mice. Lymphoid depletion and apoptosis were observed in the spleen of Omicron-infected mice with brain infection.
Conclusion
Lethal conditions, such as severe body weight loss and encephalopathy, can occur in Omicron-infected K18-hACE2 mice. Our study reports, for the first time, that Omicron can induce brain infection with lymphoid depletion in the mouse COVID-19 model.
8.Acoustic and Magnetic Stimuli-Based Three-Dimensional Cell Culture Platform for Tissue Engineering
Ju Yeon SEO ; Song Bin PARK ; Seo Yeon KIM ; Gyeong Jin SEO ; Hyeon-Ki JANG ; Tae-Jin LEE
Tissue Engineering and Regenerative Medicine 2023;20(4):563-580
In a conventional two-dimensional (2D) culture method, cells are attached to the bottom of the culture dish and grow into a monolayer. These 2D culture methods are easy to handle, cost-effective, reproducible, and adaptable to growing many different types of cells. However, monolayer 2D cell culture conditions are far from those of natural tissue, indicating the need for a threedimensional (3D) culture system. Various methods, such as hanging drop, scaffolds, hydrogels, microfluid systems, and bioreactor systems, have been utilized for 3D cell culture. Recently, external physical stimulation-based 3D cell culture platforms, such as acoustic and magnetic forces, were introduced. Acoustic waves can establish acoustic radiation force, which can induce suspended objects to gather in the pressure node region and aggregate to form clusters. Magnetic targeting consists of two components, a magnetically responsive carrier and a magnetic field gradient source. In a magnetic-based 3D cell culture platform, cells are aggregated by changing the magnetic force. Magnetic fields can manipulate cells through two different methods: positive magnetophoresis and negative magnetophoresis. Positive magnetophoresis is a way of imparting magnetic properties to cells by labeling them with magnetic nanoparticles. Negative magnetophoresis is a label-free principle-based method. 3D cell structures, such as spheroids, 3D network structures, and cell sheets, have been successfully fabricated using this acoustic and magnetic stimuli-based 3D cell culture platform. Additionally, fabricated 3D cell structures showed enhanced cell behavior, such as differentiation potential and tissue regeneration. Therefore, physical stimuli-based 3D cell culture platforms could be promising tools for tissue engineering.
9.Demand for Priorities for Preventing Occupational Diseases among Farmers
Ae-Rim SEO ; Ji-Youn KIM ; Bokyoung KIM ; Gyeong-Ye LEE ; Kyungsu KIM ; Ki-Soo PARK
Journal of Agricultural Medicine & Community Health 2023;48(4):239-250
Objective:
This study was a preliminary study for the prevention programs for farmers' occupational diseases. It selected the priorities recognized by farmers, such as occupational diseases, and also identifies the effectiveness and feasibility of prevention programs among diseases recognized by farmers. Therefore, we plan to use it as basis data for future farmer safety and health programs.Method: The subjects of the study were farmers living in the region, selected through a snowball recruitment method, and a total of 671 people were targeted. The priority selection method was the Basic Priority Rating System (BPRS) method, and among the occupational diseases, programs to prevent musculoskeletal diseases, cardiovascular and respiratory diseases, and pesticide poisoning were surveyed on the effectiveness and feasibility of farmers.
Results:
Among occupational diseases, the highest priority was musculo-skeletal disease, followed by respiratory disease and pesticide poisoning. Among the programs for musculoskeletal disease, 'use of agricultural work convenience equipment and auxiliary tools' had the highest perceived effectiveness and feasibility. Among the five programs for pesticide poisoning, ‘equipment of protective equipment such as pesticide protective clothing/glove’ had the highest effectiveness at 67.4%, and ‘compliance with pesticide use instructions’ had the highest level of feasibility at 64.3%. Among the four programs to prevent respiratory diseases, ‘wearing a dust mask or gas mask’ was the highest at 65.5% in terms of both effectiveness and feasibility.
Conclusion
When carrying out safety and health programs for farmers, the priorities recognized by farmers should be taken into consideration, and the program contents should also be developed taking into account the size of effect and feasibility recognized by farmers.
10.Long-term treatment of allogeneic adipose-derived stem cells in a dog with rheumatoid arthritis
Min-Gyeong SEO ; Seil PARK ; Seonyoung HAN ; Ah-Young KIM ; Eun-Joo LEE ; Kyu-Shik JEONG ; Il-Hwa HONG
Journal of Veterinary Science 2022;23(4):e61-
Background:
Although there are growing demands for stem cell-based therapy for companion animals in various diseases, a few clinical trials have been reported. Moreover, most of them are the results from only one or a few times of stem cell injection.
Objectives:
The aim of this study is to describe a long-term treatment with allogeneic adipose-derived stem cells (ASCs) in a dog with rheumatoid arthritis (RA), which is a rare canine disease.
Methods:
The dog with RA received intravascular injection of allogeneic ASCs derived from two healthy donors once a month for 11 months. To assess therapeutic effects of ASCs, orthopedic examination and clinical evaluation was performed. Cytokines of tumor necrosis factor-α and interleukin-6 in the plasma were measured using ELISA analysis.
Results:
Despite this repeated and long-term administration of allogeneic ASCs, there were no side effects such as immunorejection responses or cell toxicity. The orthopedic examination score for the dog decreased after ASCs treatment, and the clinical condition of the dog and owner’s satisfaction were very good
Conclusions
Although ASCs has been suggested as one of the options for RA treatment because of its anti-inflammatory and immunosuppressive functions, it has never been used to treat RA in dogs. The present report describes a case of canine RA treated with allogeneic ASCs for long-term in which the dog showed clinical improvement without adverse effects.

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