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Ophthalmology
Focus on eye health and related diseases.
Sub Categories on Ophthalmology
Latest Articles
Using AI to detect dry eye disease

Using AI to detect dry eye disease

by Tsinghua University PressThe blue circle represents ground truth-based evidence, the pink represents potential methods, and the gray area represents supplemental methods. Credit: Mini Han Wang, Zhu

Using AI to detect dry eye disease

by Tsinghua University PressThe blue circle represents ground truth-based evidence, the pink represents potential methods, and the gray area represents supplemental methods. Credit: Mini Han Wang, Zhu
Combination treatment based shows promise for treatment of retinal degenerations, drug repurposing study finds

Combination treatment based shows promise for treatment of retinal degenerations, drug repurposing study finds

byUniversity of Eastern FinlandDietary TMB self-administration stabilizes the retinal transcriptome and mitigates the disease phenotype in rd10 mice. Credit:Nature Communications(202

Combination treatment based shows promise for treatment of retinal degenerations, drug repurposing study finds

byUniversity of Eastern FinlandDietary TMB self-administration stabilizes the retinal transcriptome and mitigates the disease phenotype in rd10 mice. Credit:Nature Communications(202
A new displacement-pressure biparametrically regulated softness sensory system for intraocular pressure monitoring

A new displacement-pressure biparametrically regulated softness sensory system for intraocular pressure monitoring

by Science China Press(a) Mechanism for the feel of softness by a human fingertip. (b) Structure of the indentor. The two sensors are integrated on the sphere surface. (c) Multi-segment displacem

A new displacement-pressure biparametrically regulated softness sensory system for intraocular pressure monitoring

by Science China Press(a) Mechanism for the feel of softness by a human fingertip. (b) Structure of the indentor. The two sensors are integrated on the sphere surface. (c) Multi-segment displacem
Study uses new tools, machine learning to investigate major cause of blindness in older adults

Study uses new tools, machine learning to investigate major cause of blindness in older adults

by Lorena Infante Lara,Vanderbilt UniversityMultimodal imaging of subretinal drusenoid deposits (SDD) in age-related macular degeneration (AMD). Credit:Frontiers in Ophthalmology(202

Study uses new tools, machine learning to investigate major cause of blindness in older adults

by Lorena Infante Lara,Vanderbilt UniversityMultimodal imaging of subretinal drusenoid deposits (SDD) in age-related macular degeneration (AMD). Credit:Frontiers in Ophthalmology(202
Study identifies 'visual system' protein for circadian rhythm stability

Study identifies 'visual system' protein for circadian rhythm stability

byJohns Hopkins University School of MedicineTenm3 expression in the SCN is highest in VIP cells. (A) RNAscope in situ hybridization in coronal sections of P5 C57Bl/6J brains for Tenm3, Vip, and

Study identifies 'visual system' protein for circadian rhythm stability

byJohns Hopkins University School of MedicineTenm3 expression in the SCN is highest in VIP cells. (A) RNAscope in situ hybridization in coronal sections of P5 C57Bl/6J brains for Tenm3, Vip, and
Leveraging AI to Enhance Early Detection and Management of Diabetic Retinopathy

Leveraging AI to Enhance Early Detection and Management of Diabetic Retinopathy

Recent findings from a study published in the JAMA Ophthalmology have shed light on the underutilized potential of artificial intelligence (AI) in diagnosing diabetic retinopathy (DR), despite its proven effectiveness.

Leveraging AI to Enhance Early Detection and Management of Diabetic Retinopathy

Recent findings from a study published in the JAMA Ophthalmology have shed light on the underutilized potential of artificial intelligence (AI) in diagnosing diabetic retinopathy (DR), despite its proven effectiveness.
Researchers develop potential glaucoma treatment strategy to guide stem cells to the retina

Researchers develop potential glaucoma treatment strategy to guide stem cells to the retina

NOVEMBER 18, 2023byMassachusetts Eye and Ear InfirmaryPetr Baranov, MD, PhD, (right) has a conversation with a colleague at his lab at the Schepens Eye Research Institute of Mass Eye and Ear in

Researchers develop potential glaucoma treatment strategy to guide stem cells to the retina

NOVEMBER 18, 2023byMassachusetts Eye and Ear InfirmaryPetr Baranov, MD, PhD, (right) has a conversation with a colleague at his lab at the Schepens Eye Research Institute of Mass Eye and Ear in
Subretinal adeno-associated virus T-cell inhibition: Exploring potential existence of anti-transgene immune responses

Subretinal adeno-associated virus T-cell inhibition: Exploring potential existence of anti-transgene immune responses

byMary Ann Liebert, IncCo-injection of AAV8 and HY peptides in rd10 mice induces a subretinal associated immune inhibition. Credit:Human Gene Therapy(2024). DOI: 10.1089/hum.2023.191

Subretinal adeno-associated virus T-cell inhibition: Exploring potential existence of anti-transgene immune responses

byMary Ann Liebert, IncCo-injection of AAV8 and HY peptides in rd10 mice induces a subretinal associated immune inhibition. Credit:Human Gene Therapy(2024). DOI: 10.1089/hum.2023.191
The logic underlying recurrent activity in the primary visual cortex

The logic underlying recurrent activity in the primary visual cortex

by Ingrid Fadelli , Medical XpressEnsembles are divided into two categories as follows: in rows whether they are diffuse (mean distance >200 µm, top) or compact ( 0.7, left) or untuned (<0.3, ri

The logic underlying recurrent activity in the primary visual cortex

by Ingrid Fadelli , Medical XpressEnsembles are divided into two categories as follows: in rows whether they are diffuse (mean distance >200 µm, top) or compact ( 0.7, left) or untuned (<0.3, ri
Machine learning can predict eyes at risk for diabetic retinopathy progression

Machine learning can predict eyes at risk for diabetic retinopathy progression

by Lori SolomonAutomated machine learning models may help identify eyes at risk for diabetic retinopathy (DR) progression based on ultra-widefield retinal images, according to a study published online

Machine learning can predict eyes at risk for diabetic retinopathy progression

by Lori SolomonAutomated machine learning models may help identify eyes at risk for diabetic retinopathy (DR) progression based on ultra-widefield retinal images, according to a study published online