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/dl+cardiac+bioage+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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Article Title: Association of retinal image–based, deep learning cardiac BioAge with telomere length and cardiovascular biomarkers
Article Snippet: The DL cardiac BioAge model was able to accurately stratify individuals by the traditional CVD risk biomarkers, and for both males and females, those issued with a cardiac BioAge in the top quartile of their chronological peer group had a significantly higher mean systolic blood pressure, hemoglobin A 1c , and 10-year Pooled Cohort Equation CVD risk scores compared with those individuals in the bottom quartile (p<0.001).

Marker:

Article Title: Association of retinal image–based, deep learning cardiac BioAge with telomere length and cardiovascular biomarkers
Article Snippet: SIGNIFICANCE: Our retinal image–based deep learning (DL) cardiac biological age (BioAge) model could facilitate fast, accurate, noninvasive screening for cardiovascular disease (CVD) in novel community settings and thus improve outcome with those with limited access to health care services.. PURPOSE: This study aimed to determine whether the results issued by our DL cardiac BioAge model are consistent with the known trends of CVD risk and the biomarker leukocyte telomere length (LTL), in a cohort of individuals from the UK Biobank.. METHODS: A cross-sectional cohort study was conducted using those individuals in the UK Biobank who had LTL data.

Biomarker Discovery:

Article Title: Association of retinal image–based, deep learning cardiac BioAge with telomere length and cardiovascular biomarkers
Article Snippet: Our retinal image–based deep learning (DL) cardiac biological age (BioAge) model could facilitate fast, accurate, noninvasive screening for cardiovascular disease (CVD) in novel community settings and thus improve outcome with those with limited access to health care services. .. This study aimed to determine whether the results issued by our DL cardiac BioAge model are consistent with the known trends of CVD risk and the biomarker leukocyte telomere length (LTL), in a cohort of individuals from the UK Biobank. ..

Derivative Assay:

Article Title: Systems and methods for processing of fundus images
Article Snippet: The inventors found that a worsening biomarker profile, increased chronological age and increased Cardiac BioAge were associated with LTL shortening. .. Additionally, they found the DL Cardiac BioAge model was able to accurately stratify patients into those at high risk of CVD and those at low risk of CVD disease as determined by relevant CVD biomarkers and the 10-year PCE derived CVD risk score. .. In line with traditional CVD models, both males and females who were issued with a Cardiac BioAge in the top quartile of their chronological peer group had a significantly higher mean SBP, HbA1C and 10-year PCE CVD score compared to those individuals in the bottom quartile (PCE etc).

Review