A5101646504- Genetic Associations and Epidemiology
- Retinal Development and Disorders
- Bioinformatics and Genomic Networks
- Glaucoma and retinal disorders
- Retinal Imaging and Analysis
- Simulation Techniques and Applications
- Image Enhancement Techniques
- Gene expression and cancer classification
- Advanced Neural Network Applications
- Sleep and Wakefulness Research
- Diet and metabolism studies
- Healthcare Operations and Scheduling Optimization
- Health, Environment, Cognitive Aging
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Heme Oxygenase-1 and Carbon Monoxide
- Genomics and Rare Diseases
- Statistical Methods in Clinical Trials
- Cardiovascular Function and Risk Factors
- Software Reliability and Analysis Research
- Mitochondrial Function and Pathology
- Curcumin's Biomedical Applications
- Machine Learning in Healthcare
University of California, Los Angeles
2025
Purdue University West Lafayette
2022-2024
China Medical University
2018
Chinese University of Hong Kong
2005
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),...
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 ),...
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...
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...
A new angiogram image enhancement algorithm based on anisotropic diffusion is proposed. This novel method can adaptively choose the conductance parameter, which has great significance whole diffusion. Experimental results show that this more effective compared with original
Incarceration-diversion programs have proven effective in reducing recidivism. Accurate prediction of the number individuals with different characteristics program and their outcomes based on given eligibility criteria is crucial for successful implementation, because this serves as foundation determining appropriate size consequent staffing requirements. However, task poses challenges due to complexities arising from varied lengths-of-stay diverse incarceration-diversion programs. In...
The success of Computer Vision (CV) relies heavily on manually annotated data. However, it is prohibitively expensive to annotate images in key domains such as healthcare, where data labeling requires significant domain expertise and cannot be easily delegated crowd workers. To address this challenge, we propose a neuro-symbolic approach called Rapid, which infers image rules from small amount labeled provided by experts automatically labels unannotated using the rules. Specifically, Rapid...
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...