Publications by authors named "T Rim"
Background: The American Heart Association recently published guidelines on how to clinically identify and categorize individuals with cardiovascular-kidney-metabolic (CKM) syndrome. The extent to which CKM syndrome prevalence and prognosis differ by sex remains unknown. This study aimed to examine the impact of sex on trends in prevalence over 30 years and the long-term prognosis of CKM syndrome in the United States.
View Article and Find Full Text PDFArticle Synopsis
- The study develops a new biological ageing marker called RetiPhenoAge using deep learning algorithms that analyze retinal images to predict phenotypic age, surpassing traditional chronological age evaluations.
- Researchers trained a convolutional neural network on retinal photographs from the UK Biobank to identify patterns linked to various health biomarkers and assess the marker’s effectiveness in predicting morbidity and mortality across three independent cohorts.
- The study also compares RetiPhenoAge with other ageing markers and investigates its relationship with systemic health conditions and genetic factors, employing various statistical models to evaluate risks associated with mortality and illness.
Background: Artificial intelligence (AI) that utilizes deep learning (DL) has potential for systemic disease prediction using retinal imaging. The retina's unique features enable non-invasive visualization of the central nervous system and microvascular circulation, aiding early detection and personalized treatment plans for personalized care. This review explores the value of retinal assessment, AI-based retinal biomarkers, and the importance of longitudinal prediction models in personalized care.
View Article and Find Full Text PDFArticle Synopsis
- - The study examined the link between chronic kidney disease (CKD) and age-related macular degeneration (AMD) using data from over 51,000 participants across ten Asian studies, aiming to clarify previous mixed findings on this relationship.
- - Results showed that individuals with CKD had a 46% higher odds of developing late AMD compared to those without, and worse kidney function correlated with increased risk of late AMD, but no significant association was found for early AMD.
- - The findings suggest that while CKD and reduced kidney function are significantly associated with late AMD, early AMD does not appear to have a similar connection, highlighting the importance of monitoring kidney health in aging populations.