The clinical application of the frailty phenotype and frailty index still has some limitations, and whether the classification of frailty based on metabolites is beneficial to the management of the frailty population remains unclear….
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Background: The association between physical activity behavior and cardiometabolic risk factors in longitudinal cohort studies has depended largely on questionnaire-based reporting. However, more studies are turning to mHealth device solutions, where physical activity (PA)…
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A study from the University of Westminster’s Research Centre for Optimal Health (ReCOH) has developed an AI method to predict the early onset of 38 age-related diseases through analysis of UK Biobank data.
The study,…
Identifying disease risk and detecting disease before clinical symptoms appear are essential for early intervention and improving patient outcomes. In this context, the integration of medical imaging in a clinical workflow offers a unique…
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More than 100,000 participants have undergone whole-body MRI scans as part of a UK Biobank imaging project to enable earlier detection, improved diagnosis and more personalised treatment for a range of conditions.
Since the project…
Retinal photography is a valuable non-invasive tool for assessing vascular health, but genetic evidence linking retinal microcirculation to major vascular-related diseases (e.g., myocardial infarction [MI], stroke, and chronic kidney disease [CKD]) remains scarce. This…
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Retinal age has emerged as a promising biomarker of aging, offering a non-invasive and accessible assessment tool. We developed a deep learning model to estimate retinal age with enhanced accuracy, leveraging retinal images from…
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Researchers at Imperial College London have developed a generative AI model that creates realistic and personalised animations of human hearts to help identify abnormalities.
The Imperial team used images of real human hearts from more…
Walter and Eliza Hall Institute of Medical Research in Victoria, Australia led one of the largest eye studies in the world that used AI to analyse eye images of over 50,000 people to better understand the retina’s…
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A study led by researchers at Oxford Population Health identified 28% more cases of atrial fibrillation in primary care data than secondary care data alone.
Evidence of atrial fibrillation, which is associated with higher risks…
