Xia Yang

ORCID: 0000-0001-9029-3553
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About
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Research Areas
  • Gastric Cancer Management and Outcomes
  • Colorectal Cancer Screening and Detection
  • Genetic factors in colorectal cancer
  • Ferroptosis and cancer prognosis
  • RNA modifications and cancer
  • Healthcare and Venom Research
  • Diverticular Disease and Complications
  • Laser Applications in Dentistry and Medicine
  • Gut microbiota and health
  • Urban Transport and Accessibility
  • Histone Deacetylase Inhibitors Research
  • HVDC Systems and Fault Protection
  • Wound Healing and Treatments
  • Dermatologic Treatments and Research
  • Acupuncture Treatment Research Studies
  • Diet and metabolism studies
  • Traditional Chinese Medicine Analysis
  • Cancer Mechanisms and Therapy
  • Transportation Planning and Optimization
  • Human Mobility and Location-Based Analysis
  • Peroxisome Proliferator-Activated Receptors
  • Connective Tissue Growth Factor Research
  • Radiomics and Machine Learning in Medical Imaging
  • Ubiquitin and proteasome pathways
  • Gallbladder and Bile Duct Disorders

Gansu University of Traditional Chinese Medicine
2023

Kunming University of Science and Technology
2023

The First Affiliated Hospital, Sun Yat-sen University
2023

Sun Yat-sen University
2023

People's Liberation Army 411 Hospital
2022

Shanghai Ninth People's Hospital
2021

Shanghai Jiao Tong University
2021

PLA Navy General Hospital
2020

Chinese People 's Liberation Army No.455 Hospital
2019

Second Military Medical University
2014-2019

The importance of mRNA N6-methyladenosine (m6 A) modification during tumor metastasis is controversial as it plays distinct roles in different biological contexts. Moreover, how cancer cell plasticity shaped by m6 A interesting but remains uncharacterized. Here, this work shows that reader insulin like growth factor 2 binding protein 3 (IGF2BP3) remarkably upregulated metastatic lung adenocarcinoma (LUAD) and indicates worse prognosis patients. Interestingly, IGF2BP3 induces partial...

10.1002/advs.202206744 article EN cc-by Advanced Science 2023-05-12

INTRODUCTION: Although the 9-minute mean withdrawal time (m-WT) is often reported to be associated with optimal adenoma detection rate (ADR), no randomized trials of screening colonoscopy have confirmed impact a m-WT on miss (AMR) and ADR. METHODS: A multicenter tandem trial was conducted in 11 centers. Seven hundred thirty-three asymptomatic participants were receive segmental withdrawal, followed by 6-minute (9-minute-first group, 9MF, n = 366) or vice versa (6-minute-first 6MF, 367). The...

10.14309/ajg.0000000000002055 article EN cc-by-nc-nd The American Journal of Gastroenterology 2022-10-11

Non-small cell lung carcinoma, NSCLC, accounts for 80-85% of cancers. NSCLC can be mainly divided into two types: adenocarcinoma (ADC) and squamous carcinoma (SCC). The purpose our study was to identify differentiate the pathogenesis ADC SCC at molecular level. gene expression profiles were downloaded from Gene Expression Omnibus under accession No. GSE10245. Accordingly, differentially expressed genes (DEGs) identified by limma package in R language. In addition, DEGs functionally analyzed...

10.4238/2014.january.8.8 article EN Genetics and Molecular Research 2014-01-01

Artificial intelligence in colonoscopy is an emerging field, and its application may help colonoscopists improve inspection quality reduce the rate of missed polyps adenomas. Several deep learning-based computer-assisted detection (CADe) techniques were established from small single-center datasets, unrepresentative learning materials might confine their generalization wide practice. Although CADes have been reported to identify colonoscopic images videos real time, diagnostic performance...

10.3748/wjg.v27.i31.5232 article EN cc-by-nc World Journal of Gastroenterology 2021-08-17

Abstract Figuring out the characteristics of urban residents' travel mode choices is key to forecasting demand as well an important basis for transportation system management and planning. The integrated learning model based on Boosting framework has high prediction accuracy strong feature selection combination ability become preferred algorithm building models.In this article, authors use resident survey data Kunming City, choose four classifiers, XGBoost, LightGBM, CatBoost, GBDT, predict...

10.21203/rs.3.rs-3434939/v1 preprint EN cc-by Research Square (Research Square) 2023-10-16
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