A study published in Science Translational Medicine demonstrates the potential of retinal imaging and genetics data in predicting the risk of various chronic conditions. The study, involving over 50,000 individuals and analyzing more than 1.5k phenotypes and 13M genetic variants, links the thickness of the retina to eye, neuropsychiatric, and cardiometabolic disorders. It uses a machine learning platform to identify early signs of cancer and other diseases. The research, led by Dr. Zebardast and involving researchers from Mass Eye and Ear, Broad Institute, and other institutions, highlights the role of retinal imaging in gaining new insights into ocular and systemic diseases.
With retinal images and genetic data, researchers predict cardiovascular, metabolic, and other disease risks https://t.co/CKru3whUe9
ποΈβ¨ Exciting research by #PDSoros Fellow @zekavatm of @MassEyeAndEar! Retinal imaging isn't just about eyes β it's a crystal ball for your health! π§¬π Read more in @ScienceTM on this eye-opening study! #HealthInSight #MedicalInnovation #ScienceWinsAn https://t.co/J4oBYGtU4s
Our new study is out @ScienceTM linking the retina with systemic health and genetics across retinal OCT images from >50k individuals! Here we performed analyses of #OCT images across >1.5k phenotypes and >13M genetic variants: @uk_biobank @HMSeye @MassEyeAndEar @broadinstitute https://t.co/NoBcrH05AX https://t.co/tvQOuMkT3z
The thickness of the retina may help predict the risk of various eye, neuropsychiatric, and cardiometabolic disorders, shows a new phenotypic and genotypic analysis of retinal #OCT images from members of @uk_biobank. @MassEyeAndEar @DrZebardast @zekavatm https://t.co/QO6yMN6Ccy https://t.co/AjlxOkCn4i
Fascinating study linking OCT retinal imaging to multiple systemic diseases based on phenome-wide and genome-wide analysis. @zekavatm @DrZebardast @sdorodgar @asegre @pnatarajanmd @HMSeye @MassEyeAndEar @broadinstitute @UniLeipzig @YaleOph @ScienceTM: https://t.co/7TcqZQL0ZK
Imaging the thickness of the retina may predict the risk of various chronic conditions, a machine learning platform uses repetitive genomic sequences to sniff out early signs of cancer, and more in this week's new issue of #ScienceTranslationalMedicine. https://t.co/OFmwSnBSDW https://t.co/BGpk1cqSBl
Our study in @ScienceTM by @zekavatm & @sdorodgar and led by @DrZebardast uses AI to examine the OCT-derived thickness of several retinal layers paired with genomics to gain new insights into ocular & systemic disease. @broadinstitute @MassEyeAndEar @MGHHeartHealth @MGH_RI⦠https://t.co/OfrjIuSDaC
Retinal imaging and genetics data used to predict future #disease risk @masseyeandear @sciencetm https://t.co/r3beReiVWe https://t.co/2AJspB9R8Y
The retina, as an extraordinary window into human health and diseases, just got another confirmation and extension now with genomic links, beyond recent #AI work https://t.co/IWxXtD5JLe @ScienceTM @DrZebardast @pnatarajanmd @zekavatm @uk_biobank https://t.co/TTTMkesmii