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    Home > Food News > Nutrition News > New biomarker can detect early eye changes that lead to diabetes-related blindness

    New biomarker can detect early eye changes that lead to diabetes-related blindness

    • Last Update: 2021-08-28
    • Source: Internet
    • Author: User
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    Image: This image shows the eyes of four types of diabetic patients, using specialized optical technology


    Image credit: Ann Elsner and Joel Papay, Indiana University

    Bloomington, Indiana - According to a new study conducted by Indiana University's School of Optometry, new biomarkers found in the eye may help treat diabetic retinopathy and even diabetes


    In the early stages, diabetes can affect the eyes before routine clinical examination reveals changes


    The ability to detect biomarkers of this vision-threatening disease may lead to early identification of people at risk of diabetes or visual impairment, and improve doctors’ ability to manage these patients


    "Early detection of diabetic retinal damage can be obtained through a painless method, which may help to detect undiagnosed patients early, thereby reducing the consequences of out-of-control diabetes," the co-author of the study and a distinguished professor of the IU School of Optometry Ann E.


    Diabetic retinopathy is caused by changes in retinal blood vessels.


    This new research is part of the current widespread interest in detecting diabetic retinopathy through artificial intelligence applied to retinal images


    Thanks to the retinal image processing algorithm described in this study, the iu-guided method can be detected in advance


    "Many algorithms use any image information that is different from diabetic patients and controls, which can identify who may have diabetes, but these may be non-specific," Elsner said


    Elsner and her co-author Joel a.


    Computer analysis is performed on retinal image data collected in well-equipped clinics, but much of the information used in this study is often overlooked when diagnosing or treating patients


    DOI

    10.


    Article title

    Quantifying frequency content in cross-sectional retinal scans of diabetics vs.


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