Byung Sik Kim

Characteristics Associated With Spontaneous Helicobacter pylori Clearance After Subtotal Gastrectomy in Patients With Gastric Cancer

Sharon Y. Byun, Hee Sung Kim, Ji Yong Ahn, Byung Sik Kim et autres

Objective: Helicobacter pylori eradication treatment typically occurs after gastrectomy; however, the specific criteria for eradication treatment have not been reported. This study aimed to evaluate the rates and locations of spontaneous clearance, as well as the accompanying histological changes. Methods: Patients with …

kr (code pays fourni par la source)

Analysis of Flash Drought Occurrence Characteristics in Gangwon Region Considering Meteorological Factors

Youngseok Song, Hayong Kim, Seungcheol Choi, Byung Sik Kim

In recent years, global temperature increases due to climate change have caused short-term flash droughts because of hydrological moisture shortages, and their frequency and intensity are increasing. Flash droughts cause serious damage to agriculture, water resources, and socioeconomics; however, clear definitions and …

Machine learning approach for identifying and forecasting streamflow droughts in data limited basins of South Korea using threshold levels

Young-Ho Seo, Jang Hyun Sung, Byung Sik Kim, Junehyeong Park

Artificial Intelligence (AI) has been extensively utilized for streamflow prediction, primarily in gauged watersheds using meteorological and historical streamflow data. However, its application in data-limited regions requires innovative approaches due to the reliance on extensive monitoring data. Physically based models, while comprehensive, …

kr (code pays fourni par la source)

LONG-TERM CLINICAL OUTCOME ACROSS STAGES OF CARDIOVASCULAR-KIDNEY-METABOLIC SYNDROME

Jeong-Hun Shin, Hyun‐Jin Kim, Byung Sik Kim

Objective: Cardiovascular-kidney-metabolic (CKM) syndrome has a continuum of metabolic, cardiovascular, and kidney dysfunction and represents critical conditions significantly contributing to global morbidity and mortality, emphasizing the importance of accurate risk stratification. The effect of CKM staging on long-term clinical outcomes, including mortality …

kr (code pays fourni par la source)

Development of a Deep Learning–Based Rainfall Prediction System for Urban-Scale Hydrological Disaster Response

Jonghun Jin, Youngmi Lee, Chul-Min Ko, Yeongyun Jeong et autres

Over the past 50 years (1973–2022), South Korea has experienced a modest increase in average precipitation. Notably, the maximum hourly rainfall has significantly risen (Kim et al., 2022). There has been an observed intensification in the intensity and frequency of extreme precipitation …

kr (code pays fourni par la source)

A Study on the Development of Wind Disaster Impact Model Based on Weather GIS Big Data

Kyung-Su Choo, Seung-Chul Choi, Byung Sik Kim

The frequency and intensity of natural disasters, including high winds, floods, and droughts, are being significantly altered by climate change. This increase in activity not only causes immediate damage but also increases the long-term socioeconomic risks associated with these extreme events. As …

kr (code pays fourni par la source)

Safety evaluation of curative gastrectomy for gastric cancer patients who underwent liver transplantation: a comparative study with conventional gastrectomy for gastric cancer patients

Chang Seok Ko, Jin Ho Jheong, Seong-A Jeong, Byung Sik Kim et autres

BACKGROUND: We aimed to examine the technical and oncological safety of curative gastrectomy for gastric cancer patients who underwent liver transplantation. METHODS: In this study, we compared the surgical and oncological outcomes of two groups. The first group consisted of 32 consecutive …

kr (code pays fourni par la source)

Supplementary Fig S3 from Transcriptomic Profiling Identifies a Risk Stratification Signature for Predicting Peritoneal Recurrence and Micrometastasis in Gastric Cancer

In‐Seob Lee, Heonyi Lee, Hoon Hur, Mitsuro Kanda et autres

Schematic illustrating the potential benefit of risk stratification with primary gastric cancer tissue-derived biomarker.

Supplementary Fig S1 from Transcriptomic Profiling Identifies a Risk Stratification Signature for Predicting Peritoneal Recurrence and Micrometastasis in Gastric Cancer

In‐Seob Lee, Heonyi Lee, Hoon Hur, Mitsuro Kanda et autres

Study design and overall workflow

Data from Transcriptomic Profiling Identifies a Risk Stratification Signature for Predicting Peritoneal Recurrence and Micrometastasis in Gastric Cancer

In‐Seob Lee, Heonyi Lee, Hoon Hur, Mitsuro Kanda et autres

AbstractPurpose: Gastric cancer peritoneal carcinomatosis is fatal. Delay in detection of peritoneal metastases contributes to high mortality, highlighting the need to develop biomarkers that can help identify patients at high risk for peritoneal recurrence or metastasis. Experimental Design: We performed a systematic …

Data from Transcriptomic Profiling Identifies a Risk Stratification Signature for Predicting Peritoneal Recurrence and Micrometastasis in Gastric Cancer

In‐Seob Lee, Heonyi Lee, Hoon Hur, Mitsuro Kanda et autres

AbstractPurpose: Gastric cancer peritoneal carcinomatosis is fatal. Delay in detection of peritoneal metastases contributes to high mortality, highlighting the need to develop biomarkers that can help identify patients at high risk for peritoneal recurrence or metastasis. Experimental Design: We performed a systematic …

kr, us, jp (code pays fourni par la source)

Supplementary Fig S2 from Transcriptomic Profiling Identifies a Risk Stratification Signature for Predicting Peritoneal Recurrence and Micrometastasis in Gastric Cancer

In‐Seob Lee, Heonyi Lee, Hoon Hur, Mitsuro Kanda et autres

Violin plots of two important genes, ZBTB1 and CAVIN2, exhibiting differences in expression level between tumors with and without peritoneal recurrence in (A) the training cohort and (B) the validation cohort.