Article

Predicting arterial age using carotid ultrasound images, pulse wave analysis records, cardiovascular biomarkers and deep learning

2021-06-21

Abstract excerpt

Cardiovascular disease --an age-related disease-- is the leading cause of death worldwide. We built an arterial age predictor by training deep learning models to predict age from 233,388 pulse wave analysis records, 8,279 carotid ultrasound images and arterial health biomarkers (e.g blood pressure) collected from 502,000 UKB participants. We predicted age with a R-Squared of 67.1+/-0.6% and a root mean squared err...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: d5efa41c-643c-5264-9f99-decae04620cc
DOI: 10.1101/2021.06.17.21259120

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Predicting arterial age using carotid ultrasound images, pulse wave analysis records, cardiovascular biomarkers and deep learningDOI 10.1101/2021.06.17.21259120Read

A photoplethysmography-based aging clock reveals genetic determinants of arterial agingSemantic proximity Read

Early Vascular Aging Determined by 3-Dimensional Aortic Geometry: Genetic Determinants and Clinical Consequences.Semantic proximity Read

Multimodal Deep Learning Reveals the Modular Genetic Architecture of Cardiovascular AgingSemantic proximity Read

Deep learning-derived cardiovascular age shares a genetic basis with other cardiac phenotypesSemantic proximity Read

Deep learning-derived cardiovascular age shares a genetic basis with other cardiac phenotypes.Semantic proximity Read

Environmental and genetic predictors of human cardiovascular ageingSemantic proximity Read

Dissecting heart age using cardiac magnetic resonance videos, electrocardiograms, biobanks, and deep learningSemantic proximity Read

Environmental and genetic predictors of human cardiovascular ageingSemantic proximity Read

Automated Deep Learning-Based Detection of Early Atherosclerotic Plaques in Carotid Ultrasound ImagingSemantic proximity Read

Machine Learning-Derived Cardiovascular Aging Phenotypes From Cardiac Function and Stroke Risk in the UK Biobank: Cohort Study.Semantic proximity Read

Predicting physiological aging rates from a range of quantitative traits using machine learning.Semantic proximity Read

Novel biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevitySemantic proximity Read