Results 61 to 70 of about 445,817 (266)
A Facial Foundation Model for Clinical Biomarker Prediction and Real‐World Mobile Deployment
Advanced Science, EarlyView.MedicalFaceFound is a facial foundation model developed through three‐stage progressive pre‐training, adapting representations from general vision to facial structure and clinical phenotypes. Using a single facial image, it estimates 62 biomarkers across multiple physiological systems and supports downstream risk prediction for cardiovascular ...
Tingfeng Xu +15 more
wiley +1 more source
Animal Models and Experimental Medicine, EarlyView.We investigated the therapeutic potential and mechanism of chrysin in experimental diabetic retinal disease. Using a streptozotocin (STZ)‐induced diabetic mouse model and high‐glucose‐stimulated BV2 microglia, we revealed chrysin‐responsive pyroptosis‐associated signatures and identified GBP3 as a regulated node.
Qun Liu +9 more
wiley +1 more source
American journal of ophthalmology-glaucoma, 2019 PURPOSE Cystoid macular edema (CME) is a leading cause of blindness. This study assessed the efficacy and safety of tocilizumab (TCZ) in refractory CME. DESIGN Retrospective case series.
N. Vegas-Revenga +26 more
semanticscholar +1 more source
Cost–benefit analysis of screening programme for diabetic retinopathy in Bulgaria
British Journal of Clinical Pharmacology, EarlyView.Aims Late‐diagnosed diabetic retinopathy (DR) is difficult and expensive to treat. Screening programmes can identify the disease early and reduce the costs of its future treatment. This study aims to analyse the cost–benefit of screening programmes for DR.
Iva Nenkova +5 more
wiley +1 more source
JAMA ophthalmology, 2019 Importance The determination of optical coherence tomography (OCT) central subfield thickness (CST) is an objective measure, and visual acuity (VA) is a subjective measure.
N. Bressler +8 more
semanticscholar +1 more source
Arquivos Brasileiros de Oftalmologia, 2020 Purpose To investigate the usefulness of systemic inflammatory markers [i.e., white blood cell and platelet counts, mean platelet volume, and their ratios] as diagnostic markers of the pathogenesis of diabetic macular edema.
C. Ilhan +4 more
semanticscholar +1 more source
Systemic Diseases and the Eye: A Translational Perspective on Diabetes
Chronic Diseases and Translational Medicine, EarlyView.The eye–brain–cardiometabolic axis in diabetes: retinal biomarkers as indicators of systemic disease. ABSTRACT Diabetes mellitus is a global chronic disease that affects the whole body and not just glucose metabolism. In diabetes, non‐invasive ocular changes can help understand microvascular, neurodegenerative, and inflammatory processes. This analysis
Matteo Capobianco +6 more
wiley +1 more source
Eye &ENT Research, EarlyView.ABSTRACT Artificial intelligence (AI) is reshaping ophthalmology from task‐specific image analysis toward multimodal, longitudinal, and clinically integrated decision support. This narrative review summarizes the methodological evolution of ophthalmic AI, including traditional machine learning, task‐specific deep learning, self‐supervised learning ...
Yuxin Liu, Hanruo Liu
wiley +1 more source
Rosiglitazone and macular edema [PDF]
Canadian Medical Association Journal, 2006 As noted in Box 1 in the article by Claire Kendall and Eric Wooltorton,[1][1] long-standing diabetes mellitus, poor diabetes control and insulin therapy are by themselves risk factors for macular edema.
openaire +2 more sources
Eye &ENT Research, EarlyView.ABSTRACT Artificial intelligence (AI) is increasingly applied to optical coherence tomography (OCT) in ophthalmology, but evidence for automated diagnosis is stronger than evidence for longitudinal monitoring. This narrative review evaluates OCT‐based AI with emphasis on disease monitoring and progression, particularly in retinal disease and glaucoma ...
Stjepan Škudar
wiley +1 more source