A5100747857- Oral microbiology and periodontitis research
- Preterm Birth and Chorioamnionitis
- DNA Repair Mechanisms
- Cancer Genomics and Diagnostics
- Reproductive tract infections research
- Infant Nutrition and Health
- Tracheal and airway disorders
- Salivary Gland Disorders and Functions
- Tumors and Oncological Cases
- Congenital Diaphragmatic Hernia Studies
- Dental Health and Care Utilization
- Technology Adoption and User Behaviour
- Oral Health Pathology and Treatment
- Dental Radiography and Imaging
- FinTech, Crowdfunding, Digital Finance
- Impact of AI and Big Data on Business and Society
- Genetic factors in colorectal cancer
- Glioma Diagnosis and Treatment
Ulsan National Institute of Science and Technology
2020-2024
Periodontitis is a widespread chronic inflammatory disease caused by interactions between periodontal bacteria and homeostasis in the host. We aimed to investigate performance reliability of machine learning models predicting severity periodontitis. Mouthwash samples from 692 subjects (144 healthy controls 548 generalized periodontitis patients) were collected, genomic DNA was isolated, copy numbers nine pathogens measured using multiplex qPCR. The are as follows: Porphyromonas gingivalis...
Dental caries are one of the chronic diseases caused by organic acids made from oral microbes. However, there was a lack knowledge about microbiome Korean children. The aim this study to analyze metagenome data obtained children and discover bacteria highly related dental with machine learning models. Saliva plaque samples 120 aged below 12 years were collected. Bacterial composition identified using Illumina HiSeq sequencing based on V3-V4 hypervariable region 16S rRNA gene. Ten major...
Abstract Preterm birth prediction is essential for improving neonatal outcomes. While many machine learning techniques have been applied to predict preterm using health records, inflammatory markers, and vaginal microbiome data, the role of prenatal oral remains unclear. This study aimed compare compositions between a full-term group, identify associated with birth, develop model compositions. Participants included singleton pregnant women admitted Jeonbuk National University Hospital 2019...
In a comprehensive study to decipher the multi-layered response chemotherapeutic agent temozolomide (TMZ), we analyzed 427 genomes and determined mutational patterns in collection of ∼40 isogenic DNA repair-deficient human TK6 lymphoblast cell lines. We first demonstrate that spontaneous background is very similar aging-associated signature SBS40 mainly caused by polymerase zeta-mediated translesion synthesis (TLS). MSH2-/- mismatch repair (MMR) knockout conjunction with additional...
Abstract In a comprehensive study to decipher the multi-layered response chemotherapeutic agent temozolomide (TMZ), we analyzed 427 genomes and determined mutational patterns in collection of ∼40 isogenic DNA repair-deficient human TK6 lymphoblast cell lines. We demonstrate that spontaneous background is very similar aging-associated signature SBS40 mainly caused by polymerase zeta-mediated translesion synthesis (TLS). MSH2-/- mismatch repair knockout conjunction with additional deficiencies...
With the innovation of information technology, non-face-to-face robo advisor with high accessibility and convenience is spreading. The current robot recommends appropriate investment products after understanding propensity based on structured data entered directly or indirectly by individuals. However, it an inconvenient obtrusive way for financial consumers to inquire input their own subjective invest. Hence, this study proposes a deduce invest in unstructured that customers voluntarily...
Abstract Background Preterm birth prediction is essential for improving neonatal outcomes. While many machine learning techniques have been applied to predict preterm using health records, inflammatory markers, and vaginal microbiome data, the role of prenatal oral remains unclear. This study aimed compare compositions between a full-term group, identify associated with birth, develop model compositions. Methods Participants included singleton pregnant women admitted Jeonbuk National...