Integrating oculomics with genomics reveals imaging biomarkers for preventive and personalized prediction of arterial aneurysms
Abstract
Arterial aneurysms are life-threatening but usually asymptomatic before requiring hospitalization. Oculomics of retinal vascular features (RVFs) extracted from retinal fundus images can reflect systemic vascular properties and therefore were hypothesized to provide valuable information on detecting the risk of aneurysms. By integrating oculomics with genomics, this study aimed to (i) identify predictive RVFs as imaging biomarkers for aneurysms and (ii) evaluate the value of these RVFs in supporting early detection of aneurysms in the context of predictive, preventive and personalized medicine (PPPM).
Xueli Zhang
PhD of Bioinformatics, Assistant Professor
My research interest is to explore the comorbidity relationship of diseases based on complex networks and to find new combination markers, and has constructed multiple biomarker databases and prediction models.
Shunming Liu
MSc in Technical Economy and Management
I’m drawn to the study of wearable devices and possess expertise in machine learning and big data analysis. My goal is to seamlessly blend technology and medicine to develop enhanced and precise medical solutions.
Ke Zhao
PostDoc
My research interest is to explore the comorbidity relationship of diseases based on complex networks and to find new combination markers, and has constructed multiple biomarker databases and prediction models.