Genome-wide association study (GWAS) is nowadays widely used to identify genes involved in human complex disease. The standard GWAS analysis examines SNPs/genes independently and identifies only a number of the most significant SNPs. It ignores combined effect weaker SNPs/genes, which leads difficulties explore biological function mechanism from systems point view. Although gene set enrichment (GSEA) has been introduced overcome these limitations by identifying correlation between...

Hepatocellular carcinoma (HCC) is a cancer of substantial morphologic, genetic and phenotypic diversity. Yet we do not understand the relationship between intratumor heterogeneity associated morphologic/histological characteristics tumor. Using single-cell whole-genome sequencing to profile 96 tumor cells (30-36 each) 15 normal liver (5 each), collected from three male patients with HBV-associated HCC, confirmed that copy number variations occur early in hepatocarcinogenesis but thereafter...

Abstract Lung cancer screening based on low-dose CT (LDCT) has now been widely applied because of its effectiveness and ease performance. Radiologists who evaluate a large LDCT images face enormous challenges, including mechanical repetition boring work, the easy omission small nodules, lack consistent criteria, etc. It requires an efficient method for helping radiologists improve nodule detection accuracy with efficiency cost-effectiveness. Many novel deep neural network-based systems have...

Both Byzantine resilience and communication efficiency have attracted tremendous attention recently for their significance in edge federated learning. However, most existing algorithms may fail when dealing with real-world irregular data that behaves a heavy-tailed manner. To address this issue, we study the stochastic convex non-convex optimization problem learning at show how to handle while retaining resilience, optimal statistical error rates simultaneously. Specifically, first present...

Genome-wide association study (GWAS) is widely utilized to identify genes involved in human complex disease or some other trait. One key challenge for GWAS data interpretation causal SNPs and provide profound evidence on how they affect the Currently, researches are focusing identification of candidate variants from most significant GWAS, while there lack support biological mechanisms as represented by pathways. Although pathway-based analysis (PBA) has been designed disease-related pathways...

Purpose This study aimed to develop and validate a radiomics model based on whole‐brain white matter clinical features predict the progression of Parkinson disease (PD). Methods PD patient data from Parkinson's Progress Markers Initiative (PPMI) database was evaluated. Seventy‐two patients with progression, as measured by Hoehn‐Yahr Scale (HYS) (stage 1‐5), 72 stable were matched sex, age, category HYS included in current study. Each individual’s T 1 ‐weighted MRI scans at baseline timepoint...

Accurate diagnosis of high-grade branching type intraductal papillary mucinous neoplasms (BD-IPMNs) is challenging in clinical setting. We aimed to construct and validate a nomogram combining characteristics radiomic features for the preoperative prediction low BD-IPMNs.Two hundred two patients from three medical centers were enrolled. The BD-IPMN group comprised with dysplasia invasive carcinoma (n = 50). training cohort first center 103), external independent validation cohorts second...

Objectives: To establish and verify radiomics models based on multiparametric MRI for preoperatively identifying the microsatellite instability (MSI) status of rectal cancer (RC) by comparing different machine learning algorithms. Methods: This retrospective study enrolled 383 (training set, 268; test 115) RC patients between January 2017 June 2022. A total 4148 features were extracted from MRI, including T2-weighted imaging, T1-weighted apparent diffusion coefficient, contrast-enhanced...

Intratumoral heterogeneity (ITH) has been linked to decreased efficacy of clinical treatments. However, although genomic ITH characterized in genetic, transcriptomic and epigenetic alterations are hallmarks esophageal squamous cell carcinoma (ESCC), the extent which these heterogeneous ESCC not explored a unified framework. Further, tumor-infiltrated T lymphocytes directed against cancer cells, but how immune infiltration acts as selective force shape clonal evolution is unclear. In this...

Abstract Little research has been conducted on how to balance plant production and soil respiration (Rs) under seasonal grazing patterns in alpine meadows. Our results from 2009 2012 showed that warm season ( WG ) June September significantly increased aboveground net primary compared with no‐grazing NG ), except 2010, cold CG 2012, while there were no significant differences between 2009. In both treatments, root biomass at 0–40 cm depth , 2011. only Rs Daily was mainly affected by...

White matter hyperintensity (WMH) is widely observed in aging brain and associated with various diseases. A pragmatic handy method the clinic to assess follow up white disease strongly need.To develop validate a radiomics nomogram for prediction of WMH progression.Retrospective.Brain images 193 patients from Picture Archiving Communication Systems (PACS) database Medical Center (Zhejiang Provincial People's Hospital). MRI data 127 PACS B Lishui Hospital) were included external validation....

Purpose: To develop and validate an integrative nomogram based on white matter (WM) radiomics biomarkers nonmotor symptoms for the identification of early-stage Parkinson's disease (PD). Methods: The brain magnetic resonance imaging (MRI) clinical characteristics 336 subjects, including 168 patients with PD, were collected from Progress Markers Initiative (PPMI) database. All subjects randomly divided into training test sets. According to baseline MRI scans in set, WM was segmented extract...

Mycobacterial pathogens are a major threat to humans. With the increasing availability of functional genomic data, research on mycobacterial pathogenesis and subsequent control strategies will be greatly accelerated. It has been suggested that genome polymorphisms, namely large sequence can influence pathogenicity different strains. However, there is currently no database dedicated polymorphisms with interpretations. We have developed my cobacterial (MyBASE) housing polymorphism data gene...

Many studies have tried to elucidate the connection between vitamin D receptor (VDR) gene (ApaI) polymorphism and periodontitis; however, so far there is no consensus. To further assess impact of ApaI on periodontitis risk, we conducted a meta-analysis Chinese population. Relevant literatures were searched according PubMed database in January 2019. The strength correlation was evaluated by combining odds ratio (ORs) 95% confidence interval (CIs). Six case-control identified with inclusion...

Abstract Background: The senile lung undergoes physiologic changes that are well known but have not been investigated with computed tomographic (CT) texture analysis. thin-section pulmonary microstructure features change in asymptomatic elderly individuals were explored. Methods : We retrospectively selected 259 subjects under-going chest tomography between April 2018 and June 2019, as group A(consist of group1 group2), without a history smoking within the past 5 years, respiratory symptoms...

Preference-based reinforcement learning (PbRL) has shown impressive capabilities in training agents without reward engineering. However, a notable limitation of PbRL is its dependency on substantial human feedback. This stems from the loop, which entails accurate compounded with value/policy learning, necessitating considerable number samples. To boost we propose SEER, an efficient method that integrates label smoothing and policy regularization techniques. Label reduces overfitting model by...

To study the consistency of radiologists in identifying pulmonary nodules based on low-dose computed tomography (LDCT), and to analyze factors that affect consistency.A total 750 LDCT cases were collected randomly from three medical centers. Three experienced chest independently evaluated detected 625 images. The classified into 3 groups: group I (detected by all radiologists); II two III only one radiologist). with respect image features individual was assessed.A 1,206 identified...

Both Byzantine resilience and communication efficiency have attracted tremendous attention recently for their significance in edge federated learning. However, most existing algorithms may fail when dealing with real-world irregular data that behaves a heavy-tailed manner. To address this issue, we study the stochastic convex non-convex optimization problem learning at show how to handle while retaining resilience, optimal statistical error rates simultaneously. Specifically, first present...

Abstract Introduction: Lung cancer is the leading cause of cancer-related deaths worldwide and metastasis accounts for 90% mortality. A better understanding cascade molecular immune events underlying evolution during tumor progression may help develop new strategies to prevent treat more effectively. Methods: In this study, we utilized two mouse models metastatic lung cancer: a genetically engineered model (GEMM) with mutant Kras Trp53 (KP, KrasLSL-G12D/+; Trp53fl/fl), which forms...

Objective To explore the risk factors of predicting white matter hyperintensities progression based on radiomics MRI whole-brain matter. Methods The imaging and clinical data 152 patients with admitted to Zhejiang People′s Hospital from March 2014 October 2018 were retrospectively analyzed. The whole brain baseline T1WI images each patient segmented by SPM12 software package, imported into AK for texture feature extraction dimensionality reduction. At last, least absolute shrinkage...

The common respiratory abnormality, small airway dysfunction (fSAD), is easily neglected. Its prognostic factors, prevalence, and risk factors are unclear. This study aimed to explore the early detection of fSAD using radiomic analysis computed tomography (CT) images predict progress. patients were divided into non-fSAD groups randomly a training group (n = 190) validation 82) at 7:3 ratio. Lung kit software was used for automatic delineation regions interest (ROI) on chest CT images. most...

Science, Technology, Engineering, and Mathematics (STEM): four of the most important concepts in education, yet some difficult to teach an engaging manner. Robotics is appealing method used STEM a way that can be applied myriad fields study, ranging from psychology computer sciences. Over course last semester, research team has worked create robot compete at International Technology Engineering Educators Association (ITEEA) national robotics competition. Although Fort Hays State University’s...