Age-Related Macular Degeneration: Advances in Management and Diagnosis
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Ophthalmology".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 86034
Special Issue Editors
Interests: AMD; retinal vascular disease; retinal imaging; metabolomics; genomics; neuroprotection; regenerative medicine
Interests: medical and surgical retinal diseases; macular degeneration; retinal imaging; metabolomics; genomics
Interests: AMD; diabetic eye disease; ocular trauma; neuroprotection; ocular regenerative medicine
2. Harvard Retinal Imaging Lab, Boston, MA, USA
Interests: AMD; diabetic retinopathy; swept source OCT and OCT-A; macular hole; retinal detachment; contrast sensitivity and novel functional endpoints; artificial intelligence applications in ophthalmology
Special Issue Information
Dear Colleagues,
Age-related macular degeneration (AMD) remains a leading cause of vision loss in people over the age of 50 worldwide. Though anti-VEGF therapies have dramatically improved the treatment of neovascular AMD, our understanding of AMD pathogenesis remains incomplete, with no treatments for the earlier stages or advanced atrophic AMD. Clinicians also believe that treatment regimens for neovascular AMD could be improved, and artificial intelligence (AI)-aided OCT interpretation and home-based imaging may improve outcomes. Even treated patients with neovascular AMD ultimately lose vision—most likely due to ongoing retinal degeneration. Neuroprotection therapies to address this problem are currently being tested in clinical trials. Treatment targets for early and intermediate AMD have been investigated—including complement and statins—with varying results. It is possible that early and intermediate AMD are actually multiple disease subtypes that respond to different therapies. Improved disease classification of these subtypes may be required in order to develop successful therapies. One approach to distinguish these subtypes is to identify and characterize biomarkers for AMD: imaging biomarkers from standard and emerging modalities, as well as systemic biomarkers, like plasma metabolomics. Validated biomarkers can be combined with clinical information, genomics, and functional testing to elucidate subtypes, describe the natural history, and identify therapeutic targets.
Dr. Joan W. Miller
Dr. Deeba Husain
Dr. Demetrios G. Vavvas
Dr. John B. Miller
Guest Editors
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Keywords
- age-related macular degeneration
- genomics
- metabolomics
- OCT and OCT-A
- autofluorescence
- anti-VEGF agents
- functional testing
- dark adaptation
- contrast sensitivity
- artificial intelligence
- regenerative medicine
- complement
- neuroprotection
- telemedicine in ophthalmology
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