Results 71 to 80 of about 62,474 (297)
This case report describes full-thickness macular hole formation after intravitreal aflibercept injections for the treatment of macular neovascularization in neovascular age-related macular degeneration (AMD).
Yasmin Ali Said+2 more
doaj +1 more source
Eye Disease Prediction using Ensemble Learning and Attention on OCT Scans [PDF]
Eye diseases have posed significant challenges for decades, but advancements in technology have opened new avenues for their detection and treatment. Machine learning and deep learning algorithms have become instrumental in this domain, particularly when combined with Optical Coherent Technology (OCT) imaging.
arxiv
Complement C3 variant and the risk of age-related macular degeneration [PDF]
Background: Age-related macular degeneration is the most common cause of blindness in Western populations. Susceptibility is influenced by age and by genetic and environmental factors.
Armbrecht, AM+16 more
core +1 more source
Anemia and retinopathy of prematurity: A narrative review
Anemia in infants who are at greatest risk of developing severe retinopathy of prematurity is almost universal. There is plausible evidence in the literature correlating anemia with severe ROP. However, the relationship is complex, and further study is needed to better understand the potential molecular mechanisms for anemia‐associated ROP.
Minali Prasad+3 more
wiley +1 more source
To compare the efficacy and safety of the proposed aflibercept biosimilar SCD411 and reference aflibercept in patients with neovascular age-related macular degeneration, this randomized, double-masked, parallel-group, multicenter study was conducted in ...
Se Woong Kang+8 more
doaj +1 more source
Evaluation of Transfer Learning for Classification of: (1) Diabetic Retinopathy by Digital Fundus Photography and (2) Diabetic Macular Edema, Choroidal Neovascularization and Drusen by Optical Coherence Tomography [PDF]
Deep learning has been successfully applied to a variety of image classification tasks. There has been keen interest to apply deep learning in the medical domain, particularly specialties that heavily utilize imaging, such as ophthalmology. One issue that may hinder application of deep learning to the medical domain is the vast amount of data necessary
arxiv
Morphometric analyses of the visual pathways in macular degeneration [PDF]
Introduction. Macular degeneration (MD) causes central visual field loss. When field defects occur in both eyes and overlap, parts of the visual pathways are no longer stimulated. Previous reports have shown that this affects the grey matter of the primary visual cortex, but possible effects on the preceding visual pathway structures have not been ...
arxiv +1 more source
Defining a Minimum Set of Standardized Patient-centered Outcome Measures for Macular Degeneration [PDF]
Purpose To define a minimum set of outcome measures for tracking, comparing, and improving macular degeneration care. Design Recommendations from a working group of international experts in macular degeneration outcomes registry development and patient ...
Barthelmes, D. (Daniel)+19 more
core +2 more sources
This review presents a detailed overview of clinically approved nanoparticle therapeutics, classifying them by type and discussing their unique advantages in drug delivery. It highlights regulatory challenges across global markets and emphasizes the need for adaptive approval pathways.
Nimeet Desai+5 more
wiley +1 more source
IL-18 is not therapeutic for neovascular age-related macular degeneration [PDF]
Up to 50 million people worldwide are afflicted with the devastating blinding disease age-related macular degeneration (AMD)1–3. The vast majority of patients have the currently untreatable “dry” or atrophic form of AMD, characterized by NLRP3 inflammasome-driven degeneration of the retinal pigment epithelium (RPE) supportive cell layer4,5. Blockade of
Hirano Y+23 more
openaire +5 more sources