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dl cardiac bioage model  (BioAge Labs)

 
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    BioAge Labs dl cardiac bioage model
    Dl Cardiac Bioage Model, supplied by BioAge Labs, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/bioage+dl+model/dl+cardiac+bioage+model/us12193739-493-5-6
    Average 90 stars, based on 1 article reviews
    dl cardiac bioage model - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Biomarker Discovery:

    Article Title: Association of retinal image–based, deep learning cardiac BioAge with telomere length and cardiovascular biomarkers
    Article Snippet: .. Multiple confounding risk factors and reverse causation mean that any observed associations between leukocyte telomere length and cardiovascular disease should be interpreted with caution; however, studies using Mendelian randomization provide compelling evidence for a relationship between leukocyte telomere length shortening and an increased risk of both atherosclerotic cardiovascular events and an increased risk of hypertension., , Irrespective of the mechanism by which leukocyte telomeres shorten, our findings indicate that, whether assessed by traditional biomarkers or leukocyte telomere length, our novel cardiac BioAge DL model could be used as a novel surrogate biomarker for cardiac health. ..



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    Diagrammatic representation of how the deep learning <t>model</t> and aggregation models are integrated to produce an individual's <t>cardiac</t> <t>BioAge.</t> *CLAiR is the deep learning model that produces the baseline cardiovascular risk score and comprises a series of deep learning models that first identifies which eye is being assessed, before analyzing the retina for a variety of biomarkers as described. *K-NN = K-nearest neighbors method. BioAge = biological age.
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    Image Search Results


    Diagrammatic representation of how the deep learning model and aggregation models are integrated to produce an individual's cardiac BioAge. *CLAiR is the deep learning model that produces the baseline cardiovascular risk score and comprises a series of deep learning models that first identifies which eye is being assessed, before analyzing the retina for a variety of biomarkers as described. *K-NN = K-nearest neighbors method. BioAge = biological age.

    Journal: Optometry and Vision Science

    Article Title: Association of retinal image–based, deep learning cardiac BioAge with telomere length and cardiovascular biomarkers

    doi: 10.1097/OPX.0000000000002158

    Figure Lengend Snippet: Diagrammatic representation of how the deep learning model and aggregation models are integrated to produce an individual's cardiac BioAge. *CLAiR is the deep learning model that produces the baseline cardiovascular risk score and comprises a series of deep learning models that first identifies which eye is being assessed, before analyzing the retina for a variety of biomarkers as described. *K-NN = K-nearest neighbors method. BioAge = biological age.

    Article Snippet: Multiple confounding risk factors and reverse causation mean that any observed associations between leukocyte telomere length and cardiovascular disease should be interpreted with caution; however, studies using Mendelian randomization provide compelling evidence for a relationship between leukocyte telomere length shortening and an increased risk of both atherosclerotic cardiovascular events and an increased risk of hypertension., , Irrespective of the mechanism by which leukocyte telomeres shorten, our findings indicate that, whether assessed by traditional biomarkers or leukocyte telomere length, our novel cardiac BioAge DL model could be used as a novel surrogate biomarker for cardiac health.

    Techniques:

    Chronological and cardiac BioAge, categorized by mean Z -adjusted log T/S LTL ratio deciles for males and females

    Journal: Optometry and Vision Science

    Article Title: Association of retinal image–based, deep learning cardiac BioAge with telomere length and cardiovascular biomarkers

    doi: 10.1097/OPX.0000000000002158

    Figure Lengend Snippet: Chronological and cardiac BioAge, categorized by mean Z -adjusted log T/S LTL ratio deciles for males and females

    Article Snippet: Multiple confounding risk factors and reverse causation mean that any observed associations between leukocyte telomere length and cardiovascular disease should be interpreted with caution; however, studies using Mendelian randomization provide compelling evidence for a relationship between leukocyte telomere length shortening and an increased risk of both atherosclerotic cardiovascular events and an increased risk of hypertension., , Irrespective of the mechanism by which leukocyte telomeres shorten, our findings indicate that, whether assessed by traditional biomarkers or leukocyte telomere length, our novel cardiac BioAge DL model could be used as a novel surrogate biomarker for cardiac health.

    Techniques:

    Mean biomarkers for individuals in the top quartile of cardiac BioAge (Q1) compared with the bottom quartile (Q4) across all telomere length deciles

    Journal: Optometry and Vision Science

    Article Title: Association of retinal image–based, deep learning cardiac BioAge with telomere length and cardiovascular biomarkers

    doi: 10.1097/OPX.0000000000002158

    Figure Lengend Snippet: Mean biomarkers for individuals in the top quartile of cardiac BioAge (Q1) compared with the bottom quartile (Q4) across all telomere length deciles

    Article Snippet: Multiple confounding risk factors and reverse causation mean that any observed associations between leukocyte telomere length and cardiovascular disease should be interpreted with caution; however, studies using Mendelian randomization provide compelling evidence for a relationship between leukocyte telomere length shortening and an increased risk of both atherosclerotic cardiovascular events and an increased risk of hypertension., , Irrespective of the mechanism by which leukocyte telomeres shorten, our findings indicate that, whether assessed by traditional biomarkers or leukocyte telomere length, our novel cardiac BioAge DL model could be used as a novel surrogate biomarker for cardiac health.

    Techniques:

    Distribution of the mean biomarkers for male and female individuals in the top quartile of cardiac BioAge top quartile (TopQ) compared with the bottom quartile (BotQ), categorized by Z -adjusted log T/S leukocyte telomere length decile. BioAge = biological age.

    Journal: Optometry and Vision Science

    Article Title: Association of retinal image–based, deep learning cardiac BioAge with telomere length and cardiovascular biomarkers

    doi: 10.1097/OPX.0000000000002158

    Figure Lengend Snippet: Distribution of the mean biomarkers for male and female individuals in the top quartile of cardiac BioAge top quartile (TopQ) compared with the bottom quartile (BotQ), categorized by Z -adjusted log T/S leukocyte telomere length decile. BioAge = biological age.

    Article Snippet: Multiple confounding risk factors and reverse causation mean that any observed associations between leukocyte telomere length and cardiovascular disease should be interpreted with caution; however, studies using Mendelian randomization provide compelling evidence for a relationship between leukocyte telomere length shortening and an increased risk of both atherosclerotic cardiovascular events and an increased risk of hypertension., , Irrespective of the mechanism by which leukocyte telomeres shorten, our findings indicate that, whether assessed by traditional biomarkers or leukocyte telomere length, our novel cardiac BioAge DL model could be used as a novel surrogate biomarker for cardiac health.

    Techniques: