A5083402553- Genetic Associations and Epidemiology
- Bioinformatics and Genomic Networks
- Functional Brain Connectivity Studies
- Retinal Development and Disorders
- Genomics and Rare Diseases
- Health, Environment, Cognitive Aging
- Nanoplatforms for cancer theranostics
- Nanoparticle-Based Drug Delivery
- Adaptive Control of Nonlinear Systems
- Retinal Imaging and Analysis
- Glaucoma and retinal disorders
- Morphological variations and asymmetry
- Gene expression and cancer classification
- Cell Adhesion Molecules Research
- Ruminant Nutrition and Digestive Physiology
- Machine Learning in Healthcare
- Genetic Mapping and Diversity in Plants and Animals
- Evolutionary Algorithms and Applications
- Control and Dynamics of Mobile Robots
- Exercise and Physiological Responses
- Sleep and Wakefulness Research
- Indoor and Outdoor Localization Technologies
- RNA modifications and cancer
- Vehicle Dynamics and Control Systems
- Smart Materials for Construction
California University of Pennsylvania
2024-2025
University of Pennsylvania
2022-2024
Ocean University of China
2022-2024
University of Science and Technology Beijing
2022-2023
Purdue University West Lafayette
2021-2023
Wuhan University of Technology
2022
University of Delaware
2018
Cardiovascular health interacts with cognitive and mental in complex ways, yet little is known about the phenotypic genetic links of heart-brain systems. We quantified connections using multiorgan magnetic resonance imaging (MRI) data from more than 40,000 subjects. Heart MRI traits displayed numerous association patterns brain gray matter morphometry, white microstructure, functional networks. identified 80 associated genomic loci (
Abstract The retina, an anatomical extension of the brain, forms physiological connections with visual cortex brain. Although retinal structures offer a unique opportunity to assess brain disorders, their relationship structure and function is not well understood. In this study, we conducted systematic cross-organ genetic architecture analysis eye-brain using imaging endophenotypes. We identified novel phenotypic links between biomarkers measures from multimodal magnetic resonance (MRI),...
Due to modern management practices and the availability of energy dense feeds, obesity is a serious increasingly common health problem for horses. Equine linked insulin resistance exacerbation inflammatory issues such as osteoarthritis laminitis. While gut microbiome thought play part in metabolic status horses, bacterial communities associated with have yet be described. Here we report differences factors blood obese, normal lean horses correlated composition. Generally, obese had higher...
Abstract As an anatomical extension of the brain, retina eye is synaptically connected to visual cortex, establishing physiological connections between and brain. Despite unique opportunity retinal structures offer for assessing brain disorders, less known about their relationship structure function. Here we present a systematic cross-organ genetic architecture analysis eye-brain using imaging endophenotypes. Novel phenotypic links were identified biomarkers function measures derived from...
Abstract Functional magnetic resonance imaging (fMRI) has been widely used to identify brain regions linked critical functions, such as language and vision, detect tumors, strokes, injuries, diseases. It is now known that large sample sizes are necessary for fMRI studies small effect produce reproducible results. Here, we report a systematic association analysis of 647 traits with features extracted from resting-state task-evoked data more than 40,000 UK Biobank participants. We...
Plasma protein levels provide important insights into human disease, yet a comprehensive assessment of plasma proteomics across organs is lacking. Using large-scale multimodal data from the UK Biobank, we integrated with organ imaging to map their phenotypic and genetic links, analyzing 2,923 proteins 1,051 traits multiple organs. We uncovered 5,067 protein-imaging associations, identifying both organ-specific organ-shared proteomic relations, along enriched protein-protein interaction...
Polygenic risk scores (PRS) are becoming increasingly vital for prediction and stratification in precision medicine. However, PRS model training presents significant challenges broader adoption of PRS, including limited access to computational resources, difficulties implementing advanced methods, availability privacy concerns over individual-level genetic data. Cloud computing provides a promising solution with centralized data resources. Here we introduce PennPRS ( https://pennprs.org ),...
Organ-specific aging clocks have shown promise as predictors of disease risk and trajectories; however, the underlying biological mechanisms they reflect remain largely unexplored. Here, we use large-scale proteomic imaging data to investigate relationships among organ-specific modality-specific uncover processes represent. By estimating paired protein-based imaging-based across 8 major organs, demonstrate that these omics structural profiles exhibit distinct phenotypic genetic signatures,...
Abstract The human cerebral cortex is a vital component of brain function, but the genetic influences on cortical functional organization remain poorly understood. In this study, we used parcellation-based approach to process resting-state and task-evoked magnetic resonance imaging (fMRI) from over 48,000 individuals in UK Biobank ABCD studies. We identified 47 loci associated with areas networks at rest, 15 which also affected connectivity during task performance. observed patterns...
Sleep is crucial for overall physical and mental health, concerning organs such as the brain, heart, eye, liver, kidney, lung. Nonetheless, a thorough understanding of how sleep relates to these organs, well their genetic bases, remains elusive. Here we conducted systematic mapping sleep-organ connections, focusing on 623 multi-organ imaging biomarkers 10 traits. Both phenotypic analyses uncovered robust associations between structure function multiple brain functions measured by functional...
The UK Biobank (UKB) imaging project is a crucial resource for biomedical research, but limited to 100,000 participants due cost and accessibility barriers. Here we used genetic data predict heritable imaging-derived phenotypes (IDPs) larger cohort. We developed evaluated 4,375 IDP scores (IGS) derived from UKB brain body images. When applied who were not imaged, IGS revealed links numerous stratified at increased risk both somatic diseases. For example, identified individuals higher...
As large-scale biobanks provide increasing access to deep phenotyping and genomic data, genome-wide association studies (GWAS) are rapidly uncovering the genetic architecture behind various complex traits diseases. GWAS publications typically make their summary-level data (GWAS summary statistics) publicly available, enabling further exploration of overlaps between phenotypes gathered from different cohorts. However, systematically analyzing high-dimensional statistics for thousands can be...
Abstract Human organ structure and function are important endophenotypes for clinical outcomes. Genome-wide association studies (GWAS) have identified numerous common variants associated with phenotypes derived from magnetic resonance imaging (MRI) of the brain body. However, role rare protein-coding variations affecting size is largely unknown. Here we present an exome-wide study that evaluates 596 multi-organ MRI traits across over 50,000 individuals UK Biobank. We 107 variant-level...
Abstract Functional magnetic resonance imaging (fMRI) has been widely used to identify brain regions linked critical functions, such as language and vision, detect tumors, strokes, injuries, diseases. It is now known that large sample sizes are necessary for fMRI studies small effect produce reproducible results. Here we report a systematic association analysis of 647 traits with features extracted from resting-state task-evoked data more than 40,000 UK Biobank participants. We...
This article mainly explores the application method and effect of big data algorithms combining environmental art design CAD technology in decision-making constructs a decision support system integrating collection, processing, analysis, display, support.To comprehensively evaluate newly developed algorithm system's performance, this utilizes range testing metrics such as throughput, execution time, resource utilization, complexity.The conducted experiments reveal that response time remains...
In many predictive tasks, there are a large number of true predictors with weak signals, leading to substantial uncertainties in prediction outcomes. The polygenic risk score (PRS) is an example such scenario, where genetic variants used as for complex traits, each contributing only small amount information. Although PRS has been standard tool predictions, its uncertainty remains largely unexplored. this paper, we aim establish the asymptotic normality high-dimensional predictions without...
Abstract Cardiovascular health interacts with cognitive and psychological in complex ways. Yet, little is known about the phenotypic genetic links of heart-brain systems. Using cardiac brain magnetic resonance imaging (CMR MRI) data from over 40,000 UK Biobank subjects, we developed detailed analyses structural functional connections between heart brain. CMR measures cardiovascular system were strongly correlated basic morphometry, connectivity, connectivity after controlling for body size...
Crowd counting is a fundamental computer vision task and plays critical role in video structure analysis potential down-stream applications, e.g., accident forecasting urban traffic analysis. The main challenges of crowd lie the scale variation caused by disorderly distributed "person-camera" distances, as well interference complex backgrounds. To address these issues, we propose adaptive enhance network (SAENet) based on encoder-decoder U-Net architecture. We employ Res2Net encoder backbone...
Abstract Understanding the complex causal relationships among major clinical outcomes and interplay multiple organs remains a significant challenge. By using imaging phenotypes, we can characterize functional structural architecture of human organs. Mendelian randomization (MR) provides valuable framework for inferring causality by leveraging genetic variants as instrumental variables. In this study, conducted systematic multi-organ MR analysis involving 402 traits 372 outcomes. Our revealed...
This paper studies the trajectory tracking control problem of an AGV under influence input saturation, where improved adaptive sliding mode method based on a barrier function is proposed. The used to ensure that error converges predefined range, and system chattering reduced. An auxiliary designed compensate for vehicle system's allowing maintain satisfactory performance when torque limited. Finally, simulation results shows effectiveness