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The Uric Acid and Gout have No Direct Causality With Osteoarthritis: A Mendelian Randomization Study

Lee YH, Song GG

OBJECTIVE: To examine whether uric acid level or gout is causally associated with the risk of osteoarthritis. METHODS: We performed a two-sample Mendelian randomization (MR) analysis using inverse-variance weighted (IVW), MR-Egger...
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New Insights on the Mechanisms Affecting Fertility in Men with Non-Seminoma Testicular Cancer before Cancer Therapy

Dias TR, Agarwal A, Pushparaj , Ahmad G, Sharma R

PURPOSE: Patients with non-seminoma testicular cancer (NSTC) cancer can be subfertile or infertile, and present reduced sperm quality, but the underlying mechanisms are unknown. The aim of this study was...
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Comparison of One- and Two-Region of Interest Strain Elastography Measurements in the Differential Diagnosis of Breast Masses

Park HJ, Kim SM, Yun BL, Jang M, Kim B, Lee SH, Ahn HS

OBJECTIVE: To compare the diagnostic performance and interobserver variability of strain ratio obtained from one or two regions of interest (ROI) on breast elastography. MATERIALS AND METHODS: From April to May...
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Identification of Molecular Signatures in Mild Intrinsic Atopic Dermatitis by Bioinformatics Analysis

Yin H, Wang S, Gu C

BACKGROUND: Atopic dermatitis (AD) is recognized as a common inflammatory skin disease and frequently occurred in Asian and Black individuals. OBJECTIVE: Since the limitation of dataset associated with human severe AD,...
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Association between Lymphovascular Invasion and Recurrence in Patients with pT1N+ or pT2–3N0 Gastric Cancer: a Multi-institutional Dataset Analysis

Fujita K, Kanda M, Ito S, Mochizuki , Teramoto H, Ishigure K, Murai T, Asada T, Ishiyama A, Matsushita H, Tanaka C, Kobayashi , Fujiwara M, Murotani K, Kodera Y

PURPOSE: Patients with pathological stage T1N+ or T2–3N0 gastric cancer may experience disease recurrence following curative gastrectomy. However, the current Japanese Gastric Cancer Treatment Guidelines do not recommend postoperative adjuvant...
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Extracting Structured Genotype Information from Free-Text HLA Reports Using a Rule-Based Approach

Lee KH, Kim HJ, Kim YJ, Kim JH, Song EY

BACKGROUND: Human leukocyte antigen (HLA) typing is important for transplant patients to prevent a severe mismatch reaction, and the result can also support the diagnosis of various disease or prediction...
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Pathologic discrepancies between colposcopy-directed biopsy and loop electrosurgical excision procedure of the uterine cervix in women with cytologic high-grade squamous intraepithelial lesions

Kim SI, Kim SJ, Suh DH, Kim K, No JH, Kim YB

OBJECTIVE: To investigate pathologic discrepancies between colposcopy-directed biopsy (CDB) of the cervix and loop electrosurgical excision procedure (LEEP) in women with cytologic high-grade squamous intraepithelial lesions (HSILs). METHODS: We retrospectively identified...
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Involvement of the TNF-α Pathway in TKI Resistance and Suggestion of TNFR1 as a Predictive Biomarker for TKI Responsiveness in Clear Cell Renal Cell Carcinoma

Hwang HS, Park YY, Shin SJ, Go H, Park JM, Yoon SY, Lee JL, Cho YM

BACKGROUND: Mechanism and predictive biomarkers for tyrosine kinase inhibitor (TKI) resistance of advanced clear cell renal cell carcinoma (ccRCC) have not been fully evaluated. METHODS: We performed gene expression profiling on...
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mTOR-coordinated Post-Transcriptional Gene Regulations: from Fundamental to Pathogenic Insights

Yeh HS, Yong J

Post-transcriptional regulations of mRNA transcripts such as alternative splicing and alternative polyadenylation can affect the expression of genes without changing the transcript levels. Recent studies have demonstrated that these post-transcriptional...
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Association between Full Electronic Medical Record System Adoption and Drug Use: Antibiotics and Polypharmacy

Park YT, Kim D, Park RW, Atalag K, Kwon IH, Yoon D, Choi M

OBJECTIVES: We investigated associations between full Electronic Medical Record (EMR) system adoption and drug use in healthcare organizations (HCOs) to explore whether EMR system features such as electronic prescribing, medicines...
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Prediction of Drug–Drug Interactions by Using Profile Fingerprint Vectors and Protein Similarities

Dere S, Ayvaz S

OBJECTIVES: Drug–drug interaction (DDI) is a vital problem that threatens people's health. However, the prediction of DDIs through in-vivo experiments is not only extremely costly but also difficult as many...
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Prediction of Chronic Disease-Related Inpatient Prolonged Length of Stay Using Machine Learning Algorithms

Symum H, Zayas-Castro JL

OBJECTIVES: The study aimed to develop and compare predictive models based on supervised machine learning algorithms for predicting the prolonged length of stay (LOS) of hospitalized patients diagnosed with five...
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Nationwide Cross-sectional Study of Association between Pterygium and Alkaline Phosphatase in a Population from Korea

Kim HJ, Rah SH, Kim SW, Kim SH

PURPOSE: We determined whether elevated serum alkaline phosphatase (ALP) was related to prevalence, location, type, length, and recurrence of pterygium in a population from the Republic of Korea. METHODS: A nationwide...
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Clinical Usefulness of ¹⁸F-FC119S Positron-Emission Tomography as an Auxiliary Diagnostic Method for Dementia: An Open-Label, Single-Dose, Evaluator-Blind Clinical Trial

Lee I, Na HR, Byun BH, Lim I, Kim BI, Choi CW, Ko IO, Lee KC, Kim KM, Park SY, Kim YK, Lee JY, Bu SH, Kim JH, Kil HS, Park C, Chi DY, Ha JH, Lim SM

BACKGROUND AND PURPOSE: The aim of this study was to determine the diagnostic performance and safety of a new ¹⁸F-labeled amyloid tracer, ¹⁸F-FC119S. METHODS: This study prospectively recruited 105 participants, comprising...
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Concordance of Three International Guidelines for Thyroid Nodules Classified by Ultrasonography and Diagnostic Performance of Biopsy Criteria

Yim Y, Na DG, Ha EJ, Baek JH, Sung JY, Kim JH, Moon WJ

OBJECTIVE: To investigate the concordance of three international guidelines: the Korean Thyroid Association/Korean Society of Thyroid Radiology, American Thyroid Association, and American College of Radiology for thyroid nodules classified by...
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Development and Validation of a Deep Learning System for Segmentation of Abdominal Muscle and Fat on Computed Tomography

Park HJ, Shin Y, Park J, Kim H, Lee IS, Seo DW, Huh J, Lee TY, Park T, Lee J, Kim KW

OBJECTIVE: We aimed to develop and validate a deep learning system for fully automated segmentation of abdominal muscle and fat areas on computed tomography (CT) images. MATERIALS AND METHODS: A fully...
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Feasibility of fully automated classification of whole slide images based on deep learning

Cho KO, Lee SH, Jang HJ

Although microscopic analysis of tissue slides has been the basis for disease diagnosis for decades, intra- and inter-observer variabilities remain issues to be resolved. The recent introduction of digital scanners...
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Deep learning for stage prediction in neuroblastoma using gene expression data

Park A, Nam S

Neuroblastoma is a major cause of cancer death in early childhood, and its timely and correct diagnosis is critical. Gene expression datasets have recently been considered as a powerful tool...
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Analysis of differences in human leukocyte antigen between the two Wellcome Trust Case Control Consortium control datasets

Jang CS, Choi W, Cook S, Han B

The Wellcome Trust Case Control Consortium (WTCCC) study was a large genome-wide association study that aimed to identify common variants associated with seven diseases. That study combined two control datasets...
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FusionScan: accurate prediction of fusion genes from RNA-Seq data

Kim P, Jang YE, Lee S

Identification of fusion gene is of prominent importance in cancer research field because of their potential as carcinogenic drivers. RNA sequencing (RNA-Seq) data have been the most useful source for...
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