A5102256033- Memory and Neural Mechanisms
- Soil and Water Nutrient Dynamics
- Hydrology and Watershed Management Studies
- Spatial Cognition and Navigation
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Heavy metals in environment
- Categorization, perception, and language
- Hepatocellular Carcinoma Treatment and Prognosis
- Soil erosion and sediment transport
- Immune Response and Inflammation
- Pharmaceutical and Antibiotic Environmental Impacts
- Creativity in Education and Neuroscience
- Radiomics and Machine Learning in Medical Imaging
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Climate variability and models
- Cryospheric studies and observations
- Child and Animal Learning Development
- Bipolar Disorder and Treatment
- Cell Adhesion Molecules Research
- Chemokine receptors and signaling
- Innovative Teaching and Learning Methods
- Genetic Associations and Epidemiology
- Odor and Emission Control Technologies
- Mental Health Research Topics
Henan University Huaihe Hospital and Huaihe Clinical Institute
2025
Beijing Normal University
2016-2025
Nanfang Hospital
2022-2024
Chinese PLA General Hospital
2024
Southern Medical University
2022-2024
Central China Normal University
2021-2023
Hepatitis B Foundation
2023
Ministry of Education of the People's Republic of China
2013-2023
Yangzhou University
2013-2022
Nanjing University of Information Science and Technology
2021
Current hepatocellular carcinoma (HCC) risk scores do not reflect changes in HCC resulting from liver disease progression/regression over time. We aimed to develop and validate two novel prediction models using multivariate longitudinal data, with or without cell-free DNA (cfDNA) signatures.A total of 13,728 patients nationwide multicenter prospective observational cohorts, the majority whom had chronic hepatitis B, were enrolled. aMAP score, as one most promising models, was evaluated for...
<sec><strong>BACKGROUND</strong> Myocardial infarction (MI) is a critical cardiovascular event with multifaceted etiology, involving several genetic and environmental factors. It essential to understand the function of plasma metabolites in development MI unravel its complex pathogenesis. </sec><sec><strong>METHODS</strong> This study employed bidirectional Mendelian randomization (MR) approach investigate causal relationships between risk. We used instruments as proxies for conducted MR...
Somatic complaints can be important features of an individual's expression anxiety. Anxiety-related traits are also risk factors for somatic symptoms. However, it is not known which neuroanatomical mechanisms may responsible this relationship. In study, our first step was to use voxel-based morphometry (VBM) approaches investigate the basis underlying in a large sample healthy subjects. We found significant positive correlation between and parahippocampal gyrus (PHG) volume adjacent...
Scene-selective regions (SSRs), including the parahippocampal place area (PPA), retrosplenial cortex (RSC), and transverse occipital sulcus (TOS), are among most widely characterized functional in human brain. However, previous studies have mostly focused on commonality within each SSR, providing little information different aspects of their variability. In a large group healthy adults (N = 202), we used magnetic resonance imaging to investigate topographical variability SSRs,...
This study aimed to establish an optimal model predict vancomycin trough concentrations by using machine learning.We enrolled 407 pediatric patients (age < 18 years) who received intravenously and underwent therapeutic drug monitoring from June 2013 April 2020 at Xinhua Hospital affiliated Shanghai Jiaotong University School of Medicine. The median (interquartile range) age weight the were 2 (0.63-5) years 12 (7.8-19) kg. Vancomycin considered as target variable, eight different algorithms...
Tacrolimus is a major immunosuppressor against post-transplant rejection in kidney transplant recipients. However, the narrow therapeutic index of tacrolimus and considerable variability among individuals are challenges for outcomes. The aim this study was to compare different machine learning deep algorithms establish individualized dose prediction models by using best performing algorithm. Therefore, 10 commonly used we compared, TabNet algorithm outperformed other with highest R 2...
The diagnosis of hepatocellular carcinoma (HCC) often experiences latency, ultimately leading to unfavorable patient outcomes due delayed therapeutic interventions. Our study is designed develop and validate a model that employs triple-phase computerized tomography (CT)-based deep learning radiomics clinical variables for early warning HCC in patients with cirrhosis.
The aim of this study was to apply machine learning methods deeply explore the risk factors associated with adverse drug events (ADEs) and predict occurrence ADEs in Chinese pediatric inpatients. Data 1,746 patients aged between 28 days 18 years (mean age = 3.84 years) were included from January 1, 2013, December 31, 2015, Children’s Hospital Chongqing Medical University. There 247 cases ADE occurrence, which most common drugs inducing antibacterials. Seven algorithms, including eXtreme...
Lapatinib is used for the treatment of metastatic HER2(+) breast cancer. We aim to establish a prediction model lapatinib dose using machine learning and deep techniques based on real-world study. There were 149 cancer patients enrolled from July 2016 June 2017 at Fudan University Shanghai Cancer Center. The sequential forward selection algorithm random forest was applied variable selection. Twelve algorithms compared in terms their predictive abilities (logistic regression, SVM, forest,...
Although previous research had related structural changes and impaired cognition to chronic cigarette smoking, recent neuroimaging studies have associated nicotine, which is a main chemical substance in cigarettes, with improvements cognitive functions (e.g. improved attention performance). However, information about the alterations of whole-brain functional connectivity after acute smoking limited. In this study, 22 smokers underwent resting-state magnetic resonance imaging (rs-fMRI)...
Tacrolimus is a widely used immunosuppressive drug in patients with autoimmune diseases. It has narrow therapeutic window, thus requiring monitoring (TDM) to guide the clinical regimen. This study included 193 cases of tacrolimus TDM data diseases at Southern Medical University Nanfang Hospital from June 7, 2018, December 31, 2020. The identified nine important variables for concentration using sequential forward selection, including height, daily dose, other immunosuppressants, low-density...
Estrogens have attracted extensive attention because of their harmful effects on organisms such as endocrine disturbance and reproductive toxicity. This study investigated the spatial temporal distribution ecological risk assessment 7 targeted estrogens in surface water a seasonal freeze-thaw basin. It mainly includes three natural estrogens, estrone (E1), 17β-estradiol (E2) estriol (E3), two synthetic 17α-ethinylestradiol (EE2) diethylstilbestrol (DES), phenolic environmental bisphenol-A...
ABSTRACT Background Colorectal liver metastasis (CRLM) has a poor prognosis, and traditional prognostic models have certain limitations in clinical application. This study aims to evaluate the value of CT‐based habitat analysis CRLM patients compare it with existing provide more evidence for individualized treatment patients. Methods retrospective included 197 whose preoperative contrast‐enhanced CT images corresponding DICOM Segmentation Objects (DSOs) were obtained from The Cancer Imaging...
Cognitive styles can be characterized as individual differences in the way people perceive, think, solve problems, learn, and relate to others. Field dependence/independence (FDI) is an important widely studied dimension of cognitive styles. Although functional imaging studies have investigated brain activation FDI styles, combined structural correlates with a large sample never been investigated. In present study, we neural by analyzing correlations between Embedded Figures Test (EFT) score...
Abstract Introduction Navigation is a fundamental and multidimensional cognitive function that individuals rely on to move around the environment. In this study, we investigated neural basis of human spatial navigation ability. Methods A large cohort participants ( N > 200) was examined their ability behaviorally structural functional magnetic resonance imaging MRI ) were then used explore corresponding navigation. Results The gray matter volume GMV bilateral parahippocampus PHG ),...