Results 51 to 60 of about 137,775 (303)

Pathological Mechanism‐Inspired Biomimetic Nano‐Senotherapy for Reversing Experimental Atherosclerosis in ApoE−/− Mice

Advanced Science, EarlyView.
The biomimetic self‐assembly nanomedicine reversing atherosclerosis via senotherapy strategy. ABSTRACT The greatest challenge in atherosclerosis (AS) management lies in achieving lesion reversal, not merely slowing progression. Senescent cell accumulation—driven by continuous generation and apoptotic resistance—perpetuates plaque pathology and ...
Yuhan Tian, Yanrui Yang, Qiuyu Li, Ying Hu, Qin Hu, Shasha Ran, Siyu Zhou, Xiujuan Yang, Shanshan Li, Qixiong Zhang   +9 more
wiley   +1 more source

Diabetic retinopathy and kidney involvement in adults with type 2 diabetes in high-altitude Tibet: A cross-sectional subanalysis of the China National Diabetic Chronic Complications Study

Journal of International Medical Research
Objective To estimate the prevalence, severity, awareness, and clinical correlates of diabetic retinopathy among adults with type 2 diabetes living at very high altitude in Tibet.
Lihui Yang, Zexin Zhang
doaj   +1 more source

Relationship between Stage of Diabetic Retinopathy and Pulse Wave Velocity in Japanese Patients with Type 2 Diabetes

Journal of Diabetes Research, 2013
Objectives. We investigated the relationship between the stage of diabetic retinopathy and pulse wave velocity (PWV). Methods. This was a cross-sectional study of 689 patients (406 men and 283 women) with type 2 diabetes who were admitted to our hospital
Kumiko Tanaka, Toshihide Kawai, Yoshifumi Saisho, Shu Meguro, Kana Harada, Yuka Satoh, Kaori Kobayashi, Kei Mizushima, Takayuki Abe, Hiroshi Itoh   +9 more
doaj   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Interconnections between diabetic corneal neuropathy and diabetic retinopathy: diagnostic and therapeutic implications

Neural Regeneration Research
Diabetic corneal neuropathy and diabetic retinopathy are ocular complications occurring in the context of diabetes mellitus. Diabetic corneal neuropathy refers to the progressive damage of corneal nerves.
Mingyi Yu, Faith Teo En Ning, Chang Liu, Yu-Chi Liu   +3 more
doaj   +1 more source

Diabetes Retinopathy Prevalence and Risk Factors among Diabetic Patients Seen at Highland Eye Clinic Mutare Zimbabwe: A Retrospective Study

International Journal of Integrated Health Sciences, 2022
Objective: To determine the prevalence of diabetic retinopathy and its association with hypertension, age, gender, and fasting blood glucose level. Methods: This retrospective study assessed the prevalence of diabetic retinopathy with its associated ...
Musokeri Tatenda Lewis, Wani Mena, Maibouge Tanko Mahamane Salissou   +2 more
doaj   +1 more source

Diabetic Retinopathy Classification With Convolutional Neural Networks Designed by the Fuzzy Grey Wolf Optimizer With Parameter Adaptation

AI &Innovation, EarlyView.
ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez, Daniela Sánchez, Patricia Melin   +2 more
wiley   +1 more source

Prevalence and Risk Factors of Diabetic Retinopathy among Type 2 Diabetic Patients in Tertiary Care Hospital of Gandaki Province of Nepal

Journal of College of Medical Sciences-Nepal
Background Diabetic retinopathy (DR) is one of the commonest causes of blindness in Nepal. This study aimed to determine the prevalence and risk factors of diabetic retinopathy in type 2 diabetic patients in a tertiary care hospital of Gandaki Province ...
Srijana Thapa Godar, Jai Bahadur Khattri, Ramesh Raj Acharya   +2 more
doaj   +1 more source

Streamlining Diagnosis of Bardet–Biedl Syndrome: New Diagnostic Algorithm With Updated Criteria

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Considerable advances have been made in our understanding of Bardet–Biedl syndrome (BBS), particularly in its core clinical features and molecular genetics, warranting an update to the existing diagnostic criteria framework. Using a rigorous, evidence‐based, and consensus‐driven process, a multidisciplinary group of international experts and ...
Jeremy J. Pomeroy, Jesse Richards, Brooke R. Sweeney, Seema Kumar, Katie E. Queen, Joshua Zaritsky, Carl H. Cramer, Elias I. Traboulsi, Brittni A. Scruggs, Erica E. Davis, Ekaterina Keifer, Emma McGibbon, Timothy Ogden, Bendert De Graaf, Tonia Hymers, Elizabeth Forsythe, Philip Beales   +16 more
wiley   +1 more source

Prediction and analysis of risk factors for diabetic retinopathy based on machine learning and interpretable models

Heliyon
Objective: Diabetic retinopathy is one of the major complications of diabetes. In this study, a diabetic retinopathy risk prediction model integrating machine learning models and SHAP was established to increase the accuracy of risk prediction for ...
Xu Wang, Weijie Wang, Huiling Ren, Xiaoying Li, Yili Wen   +4 more
doaj   +1 more source