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Tundra lists 99 Diabetic Retinopathy clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.
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NCT07705555
A Clinical Trial of MK-8748 Compared to Aflibercept in Participants With Diabetic Macular Edema (MK-8748-004)
Researchers are looking for new ways to treat diabetic macular edema (DME). In this trial, researchers want to learn if a trial medicine called MK-8748 can treat DME. An available standard (usual) treatment for DME is aflibercept. However, standard treatments such as aflibercept may not work for every person. The main goal of this trial is to learn if MK-8748 works as well as aflibercept to treat DME.
Gender: All
Ages: 18 Years - Any
Updated: 2026-09-02
3 states
NCT06763952
Leveraging Artificial Intelligence to Prevent Vision Loss From Diabetes
This pragmatic clinical trial is being conducted to test the effectiveness of AI-BRIDGE (Artificial Intelligence-Based point of caRe, Incorporating Diagnosis, SchedulinG, and Education), in improving screening and follow-up eye care compared to usual-care among patients with diabetes across 8 primary care clinics. AI-BRIDGE is an implementation program which includes an autonomous AI-based protocol that provides screening for diabetic retinopathy (DR) disease at primary care visits, as well as patient education on disease and, if a patient screens positive for referable DR or has insufficient quality image, or image unobtainable due to other technical issues, or does not get AI-screening for any reason, assistance with scheduling an in-person, follow-up eye-care visit.
Gender: All
Ages: 22 Years - Any
Updated: 2026-09-01
1 state
NCT07015034
Developing and Testing a Model to Identify Preventive Vision Loss Among Older Patients in General Practice
In this cohort study, the investigators will test vision screenings in Danish general practice for patients over 70 years of age with minimum one chronic condition. The main outcome is detection of vision impairment and secondary outcome is detection of conditions needing ophthalmologic follow-up but not presenting vision impairment at present time.
Gender: All
Ages: 70 Years - Any
Updated: 2026-08-31
2 states
NCT01496625
National Eye Institute Biorepository for Retinal Diseases
Background: \- To understand diseases of the retina and the eye, information is needed about people with and without such diseases. Researchers want to study these people and follow them over time. They also want to study body tissues and blood to understand the nature of eye disease. Studying genes, cells, and tissues may help them understand why some people get eye problems and others do not, or why some people respond to treatment while others do not. Researchers want to collect physical samples and personal data to develop a National Eye Institute database. Objectives: \- To collect health information and blood and tissue samples from people with and without eye diseases, to be used in research studies. Eligibility: * Individuals at least 2 years of age with different types of eye disease. * Healthy volunteers with no history of eye disease. Design: * Participants may be recruited from National Eye Institute studies or may be referred from other sources. * Participants will be screened with a physical exam and medical history. They will also have a full eye exam. Questions will be asked about family medical history, especially about eye disease. * Blood samples will be collected. Other samples, such as saliva, tears, hair, stool, and urine, may be collected as needed. Adult participants may also provide a skin sample. * Tissue or fluid from eye collected as part of eye care or treatment may also be added to the database. * No treatment will be provided as part of this study.
Gender: All
Ages: 2 Years - 120 Years
Updated: 2026-08-28
1 state
NCT07592273
Surabgene Lomparvovec Administered in the Suprachoroidal Space in Adult Participants With Diabetic Retinopathy Without Center-Involved Diabetic Macular Edema
Diabetic Retinopathy (DR) is a common eye condition caused by diabetes, where high blood sugar levels damage the blood vessels in the back part of the eye (called the retina). Over time, this damage can lead to vision problems and even blindness if not treated. This study will assess surabgene lomparvovec (sura-vec) as a potential one-time gene therapy administered in the suprachoroidal space (SCS) for the treatment of diabetic retinopathy (DR) and prevention of vision-threatening events (VTEs) in participants with non-proliferative DR (NPDR) without center-involved diabetic macular edema (CI-DME). This study will consist of 3 portions: a Phase 2b portion, a Phase 3 portion, and a bilateral treatment portion. Approximately 576 adult participants will be enrolled in the study across multiple sites in the United States and Puerto Rico. In the Phase 2b and Phase 3 portions, participants will be randomized to different groups to receive sura-vec and prophylactic steroids or sham and artificial tears in their study eye. If assigned to sham, participants will be given an opportunity to cross over and receive treatment with sura-vec. In the bilateral treatment portion, participants will be enrolled to receive sura-vec and prophylactic steroids in both eyes. In all 3 portions, follow-up in the study will continue through 5 years following administration of sura-vec in each eye. There may be higher treatment burden for participants in this trial compared to their standard of care. Participants will attend regular visits during the study at a clinic. The effect of the treatment will be checked by medical assessments, blood tests, checking for side effects and completing questionnaires.
Gender: All
Ages: 18 Years - Any
Updated: 2026-08-27
15 states
NCT07338461
High Resolution Imaging OCT Study
The goal of this pilot study is to compare image quality between the investigational devices (R1 and HighRes OCT) and the SPECTRALIS (cleared) in adult participants with normal and/or pathology eyes. Participants will be imaged with different imaging modalities and scan protocols on all study devices.
Gender: All
Ages: 18 Years - Any
Updated: 2026-08-26
NCT04505566
INflammatory MediatorS in the PathophysIology of Diabetic REtinopathy Study
The central hypothesis is that inflammation mediators are biomarkers of both systemic diabetes and Diabetic Retinopathy (DR) progression in the aqueous and that sustained topical ketorolac application reduces/suppresses those inflammatory mediators thereby reducing the progression of Diabetic Retinopathy.
Gender: All
Ages: 18 Years - Any
Updated: 2026-08-21
1 state
NCT05930561
4D-150 in Patients With Diabetic Macular Edema
Phase 2 randomized, active-controlled, double-masked, dose-ranging trial in adults with Diabetic Macular Edema (DME).
Gender: All
Ages: 18 Years - Any
Updated: 2026-08-21
6 states
NCT07779356
Patient Comfort Following Intravitreal Injections Using Iheezo Versus Standard Anesthesia
Prospective comparative clinical study. One hundred eyes of 50 patients were included. All patients received bilateral same-day intravitreal injections, with Iheezo administered to only one randomly selected eye and standard topical anesthesia administered to the contralateral control eye. Ocular discomfort was assessed using a 0-10 numeric rating scale at 2 minutes, 1 hour, 6-12 hours, and 24 hours following injection. The primary longitudinal analysis used a linear mixed-effects model incorporating treatment group, assessment time, and treatment-by-time interaction as fixed effects and patient as a random effect. Between-group differences at individual time points were evaluated using Welch two-sample comparisons with Holm adjustment for multiple comparisons. Patient-level mean discomfort across the four assessments was also compared between groups.
Gender: All
Ages: 18 Years - Any
Updated: 2026-08-21
1 state
NCT03076697
Smartphone Screening for Eye Diseases
To validate new screening instruments for eye disease, increase eye care access in underserved communities, and provide a scientifically implemented method to set up programs for eye disease screening.
Gender: All
Updated: 2026-08-20
NCT06321302
A Study to Test Whether BI 764524 Helps People With an Eye Condition Called Diabetic Retinopathy
This study is open to adults with diabetic retinopathy. People who have non-proliferative diabetic retinopathy of moderate or high severity can join the study. The purpose of this study is to find out whether a medicine called BI 764524 helps people with diabetic retinopathy. The study also aims to find a suitable treatment plan for BI 764524. Participants are put into 5 groups by chance. Participants in groups 1, 2, and 3 get BI 764524. Over 1 year, they get a different number of injections of the same dose of BI 764524 injected into 1 eye. During some visits, participants may get a sham control, which is done like an eye injection but without a needle, so that participants will not know how many injections of BI 764524 they received. Participants in group 4 only get a sham control. Participants in group 5 (only in the USA) get aflibercept or sham injections during some visits. Aflibercept is a medicine already used to treat diabetic retinopathy. Participants are in the study for one and a half years. During this time, they visit the study site at least 16 times. During this time, doctors regularly do eye exams and visual tests to assess the severity of participants' eye condition. After 1 year of treatment, researchers look at the number of participants with eye improvements. To do so, they compare eye damage and certain severe eye problems between the groups of participants. The doctors also regularly check participants' health and take note of any unwanted effects.
Gender: All
Ages: 18 Years - Any
Updated: 2026-08-20
17 states
NCT07588100
A Study to Investigate the Safety, Tolerability, and Pharmacokinetics of RO7663498 Following Intravitreal Administration in Participants With Diabetic Retinopathy
This study will assess the safety, tolerability, and pharmacokinetics (PK) of intravitreal (IVT) injections of RO7663498 in participants with diabetic retinopathy (DR).
Gender: All
Ages: 18 Years - Any
Updated: 2026-08-17
1 state
NCT07758582
Validation of the Artificial Intelligence Subsystem of the DDART Medical Device for the Automated Detection of Lesions Compatible With Diabetic Retinopathy in a Random Sample of Retinal Fundus Photographs
To validate the artificial intelligence subsystem of the DDART medical device for the automated detection of lesions compatible with diabetic retinopathy in a random sample of retinal fundus photographs. Secondary Objectives To determine the sensitivity and specificity of the artificial intelligence subsystem for the detection of diabetic retinopathy. To estimate the overall diagnostic accuracy and the area under the receiver operating characteristic (ROC) curve (AUC). To compare the performance of the algorithm with that of experienced ophthalmologists. To evaluate the ability of the model to distinguish between different stages of disease severity
Gender: All
Ages: 18 Years - Any
Updated: 2026-08-11
NCT07747428
Assessment of Retinal Microvascular Changes by OCT Angiography in Diabetic Retinopathy
This observational cross-sectional study aims to assess retinal microvascular changes using optical coherence tomography angiography (OCTA) in patients with diabetic retinopathy. The study will evaluate retinal vessel density and foveal avascular zone parameters and investigate their correlation with best-corrected visual acuity and glycemic control (HbA1c) across different stages of diabetic retinopathy. The findings may improve understanding of retinal microvascular alterations and their clinical significance.
Gender: All
Ages: 18 Years - 80 Years
Updated: 2026-08-05
NCT05079399
Biomarker of Diabetic Retinopathy
Diabetic retinopathy (DR) is a complication of diabetes in which blood vessels supplying blood to the back of the eye (retina) are dysfunctional. This can lead to an improper supply of oxygen and nutrients to the retinal tissue, or it may trigger the formation of new blood vessels in response to the oxygen/nutrient deficiency. Ultimately affecting the normal vision. There is no known marker that will provide information on the health status of retinal blood vessels. Using highly specialized cells in the blood, this study will try to discover a marker of DR.
Gender: All
Ages: 18 Years - Any
Updated: 2026-07-23
1 state
NCT07707856
AI Prediction of Treatment Response in DME
Diabetic macular edema (DME) is a leading cause of vision loss among individuals with diabetes mellitus. Although intravitreal anti-vascular endothelial growth factor (anti-VEGF) therapy is the standard treatment for center-involved DME, treatment response varies considerably between patients. Recent advances in artificial intelligence (AI), including machine learning (ML) and deep learning (DL), have enabled automated analysis of retinal imaging biomarkers to predict anatomical and functional treatment outcomes. This study aims to systematically evaluate published evidence regarding AI-based prediction models and imaging biomarkers used to predict treatment response in patients with DME. The review will assess the predictive performance of AI models, identify the most important imaging biomarkers, compare different AI approaches and imaging modalities, and summarize methodological strengths, limitations, and research gaps to support future development of precision ophthalmology.
Gender: All
Ages: 18 Years - Any
Updated: 2026-07-16
1 state
NCT07705607
A Clinical Trial of MK-8748 Compared to Aflibercept in Participants With Diabetic Macular Edema (MK-8748-005)
Researchers are looking for new ways to treat diabetic macular edema (DME). In this trial, researchers want to learn if a trial medicine called MK-8748 can treat DME. An available standard (usual) treatment for DME is aflibercept. However, standard treatments such as aflibercept may not work for every person. The main goal of this trial is to learn if MK-8748 works as well as aflibercept to treat DME.
Gender: All
Ages: 18 Years - Any
Updated: 2026-07-15
NCT07705321
Assessment of Retinal Microcirculation in Patients With Type 1 Diabetes Mellitus
Type 1 diabetes mellitus (T1DM) is associated with an increased lifetime risk of developing diabetic retinopathy, a leading cause of visual impairment among working-age adults worldwide. Retinal assessment plays a pivotal role in the management of patients with T1DM, as the retina provides a unique, non-invasive window into the body's microvascular circulation. Early detection of retinal abnormalities is essential because structural and microvascular changes may develop years before the onset of vision-threatening diabetic retinopathy or visual symptoms. Contemporary retinal imaging techniques, enable the quantitative evaluation of retinal microvasculature allowing the identification of subclinical retinal damage.
Gender: All
Ages: 18 Years - Any
Updated: 2026-07-15
NCT04699864
Evaluation of NeoRetina Artificial Intelligence Algorithm for the Screening of Diabetic Retinopathy at the CHUM
This prospective study aims to validate if NeoRetina, an artificial intelligence algorithm developped by DIAGNOS Inc. and trained to automatically detect the presence of diabetic retinopathy (DR) by the analysis of macula centered eye fundus photographies, can detect this disease and grade its severity.
Gender: All
Ages: 18 Years - Any
Updated: 2026-07-08
1 state
NCT06701721
A Study Intravitreal THN391 in Diabetic Macular Oedema Secondary to Non-Proliferative Diabetic Retinopathy.
THN391-OPT-101 is a study assessing safety and preliminary efficacy of THN391 in patients with diabetic macular edema (DME) given as monotherapy.
Gender: All
Ages: 18 Years - 80 Years
Updated: 2026-07-02
4 states
NCT07255326
Effect of Omega-3 Fatty Acids on Eye Blood Vessels in Type 1 Diabetes
This double-blind, placebo-controlled randomized clinical trial evaluates the effects of omega-3 fatty acid supplementation on retinal vascular structure and function in children and adolescents with type 1 diabetes. The study compares omega-3 supplementation with placebo to assess changes in retinal microvascular parameters, retinal blood flow, visual function, and systemic biomarkers over time, as well as the safety and tolerability of supplementation during the study period.
Gender: All
Ages: 10 Years - 18 Years
Updated: 2026-06-30
1 state
NCT04661358
Fenofibrate for Prevention of DR Worsening
This randomized trial will evaluate the effect of fenofibrate compared with placebo for prevention of diabetic retinopathy (DR) worsening through 6 years of follow-up in eyes with mild to moderately severe non-proliferative DR (NPDR) and no CI-DME at baseline. In addition to evaluating efficacy, this study aims to evaluate the feasibility of a model for ophthalmologists to prescribe or collaborate with a primary care provider such as an internist/endocrinologist to prescribe and monitor the drug safely. If this study demonstrates that fenofibrate is effective for reducing the onset of proliferative diabetic retinopathy (PDR) or and the results are adopted by the community of retina specialists, a new strategy to prevent vision threatening complications of diabetes could be widely adopted. Widespread use of an oral agent effective at reducing worsening of DR would decrease the numbers of patients who undergo more invasive and much more expensive treatment for DR and who are consequently at risk for side effects that adversely affect visual function. This study will also assess the relationship of glycemic variability, as measured by continuous glucose monitoring with DR outcomes. Ancillary studies will characterize functional and structural outcomes in this cohort.
Gender: All
Ages: 18 Years - 80 Years
Updated: 2026-06-29
23 states
NCT07318428
AI-Assisted Detection of Posterior Segment Diseases: DR, AMD, RVO, and Glaucoma
The purpose of this multi-center study is to evaluate the extent to which AI-assisted fundus image interpretation improves the diagnostic performance of ophthalmologists. Rather than assessing the standalone algorithm performance, this study aims to determine the clinical value of using AI as a decision-support tool within actual clinical workflows. At each participating institution, five ophthalmologists within three years of board certification and five ophthalmology residents will participate as readers. All readers will interpret fundus images both with and without the AI-based assistance software. The study will quantitatively compare diagnostic accuracy and reading time across the two conditions for four posterior segment diseases: diabetic retinopathy, age-related macular degeneration, retinal vein occlusion, and glaucoma.
Gender: All
Updated: 2026-06-23
NCT04505618
Optical Coherence Tomography Angiography in Subjects With Retinal Vascular Disease
This study will perform a prospective, longitudinal analysis of clinical and imaging findings from normal controls and subjects with retinal vascular disease to better define the diagnostic imaging criteria that signify change in disease stage. This includes disease progression in early stages of disease or disease regression with appropriate standard-of-care treatment.
Gender: All
Ages: 18 Years - 99 Years
Updated: 2026-06-17
1 state