View clinical trials related to Eye Diseases.
Filter by:In order to develop innovative biomarkers for the diagnosis of two ocular surface pathologies, Dry Syndrome (DS) and Limbic Stem Cell Deficiency (LSCD), human cells from the ocular surface will be collected in order to test these biomarkers ex vivo.
The study consists of a randomized double-masked, placebo-controlled, parallel-group, multicenter trial with an optional open-label treatment period for proptosis non-responders who complete the Double-masked Treatment Period.
The purpose of this study is to evaluate the safety and efficacy of two different concentrations of the new formulation of rhNGF ophthalmic solution versus vehicle, in order to demonstrate superiority of at least one of the two concentrations over vehicle in the improvement of ocular symptoms of dry eye in participants with dry eye disease (DED). The rhNGF ophthalmic solution, or vehicle, will be administered as one drop in each eye, three times a day, for 4 weeks. Participants will attend a total of 5 study visits from screening through end of the study (Week 8), which will include eye exams and questionnaires.
The goal of this clinical trial is to evaluate the Eye Lipid Mobilizer (ELM) for the treatment of evaporative dry eye disease associated with meibomian gland dysfunction. The main questions aim to confirm that 1) the ELM can meet its intended use by validated patient reporting outcomes and 2) to confirm that the ELM device can be used safely by different users within a clinical environment as determined by review of any adverse events related to the use of the device.
To investigate corneal endothelial cell layer damage by specular microscopy in patients with thyroid eye disease
LASN01 is a novel, fully human antibody directed against the human IL-11 receptor being developed for treatment of patients with thyroid eye disease (TED). The primary and secondary objectives of this study are to evaluate the safety, efficacy, and pharmacokinetics of LASN01 administered IV in patients with TED with no prior anti-IGF-1R treatment or in patients with TED who have previously received teprotumumab treatment.
In this prospective, phase 2b, multicenter, randomized, double-masked, vehicle-controlled, parallel-arm study, approximately 880 subjects with moderate to severe dry eye disease (DED) will be randomly assigned (1:1) to receive either TL-925 or vehicle as topical ophthalmic eye drops administered bilaterally BID. The study will comprise two phases: a two-week screening phase/run-in and a six-week double-masked treatment phase.
To compare the effects of hydroxypropyl guar (HPG)/hyaluronic acid (HA)- and carboxymethylcellulose (CMC)/HA-based lubricant eye drops on subjective and objective outcomes in dry eye disease (DED) patients after cataract surgery.
Diabetes mellitus has been associated with ocular surface damage and exacerbates dry eye disease (DED) pathology. To investigate clinical and inflammatory changes in the ocular surface of insulin-independent type II diabetic patients. This cross-sectional control study will recruit 200 Type 2 diabetic patients and 200 age- and sex-matched subjects without DM.
Eye health is of great importance for quality of life. Some eye diseases can progress and cause permanent damage up to vision loss if they are not treated early. Therefore, it is of great importance to have regular eye examinations and to detect possible eye diseases before they progress. Healthy people should also undergo eye screening once a year, and those with any complaints regarding eye health should be examined. With the advancing technology, Artificial Intelligence (AI) has begun to play a significant role in the healthcare sector. Retinal diseases, serious health problems resulting from damage to the back part of the eye's retina, include conditions such as retinopathy, macular degeneration, and glaucoma. Artificial intelligence, with its visual recognition and analysis capabilities, holds great potential in the early diagnosis of retinal diseases. AI-based diagnosis of retinal diseases typically involves the use of specialized algorithms that analyze retinal images. These algorithms identify abnormal features in the eye, providing doctors with a quick and accurate diagnosis. EyeCheckup v2.0 will diagnose glaucoma suspicion, severe glaucoma suspicion, age-related macular degeneration diagnosis, RVO diagnosis, diabetic retinopathy diagnosis and stage, presence/absence of DME suspicion and other retinal diseases from fundus images. This study is designed to assess the safety and efficacy of EyeCheckup v2.0. The study is a single center study to determine the sensitivity and specificity of EyeCheckup to retinal and optic disc diseases. EyeCheckup v2.0 is an automated software device that is designed to analyze ocular fundus digital color photographs taken in frontline primary care settings in order to quickly screen.