Clinical Challenges and Innovations in the Diagnosis of Age-Related Macular Degeneration: A Multidisciplinary Perspective
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Clinical Diagnosis and Prognosis".
Deadline for manuscript submissions: 31 July 2025 | Viewed by 110
Special Issue Editors
Interests: development, validation, and implementation of novel ocular biomarkers for clinical prediction; multi-modal prediction modelling; macular disease
Interests: optical coherence tomography; OCTA; multimodal imaging; retinal vascular diseases; age-related macular degeneration; retinal dystrophies
Special Issue Information
Dear Colleagues,
Age-related macular degeneration (AMD) is the third most prevalent cause of severe and irreversible vision loss globally, and its prevalence is expected to rise with the ageing population. Advances in imaging modalities have provided novel insights into disease activity and progression; however, many questions remain unanswered. A multidisciplinary approach offers valuable insights into both diagnosis and pathogenesis. Notably, histological studies of donor eyes provide a cellular-level description of AMD features and clinical validation of Optical coherence tomography (OCT) imaging findings. Moreover, new developments in machine learning approaches further enhance diagnostic precision and demonstrate significant potential in accurately categorizing AMD and studying its progression. This aligns with contributions from extensive genetic studies and molecular biology research on serum metabolite biomarkers, which are likely to yield future opportunities for improving diagnostic accuracy and predicting disease progression.
This Special Issue, entitled ‘Clinical Challenges and Innovations in the Diagnosis of Age-Related Macular Degeneration: A Multidisciplinary Perspective’, will explore innovative approaches in the diagnosis of AMD. By focusing on multidisciplinary contributions, we aim to bridge gaps between clinical practice, technology, molecular biology, and genetics.
We look forward to receiving your contributions.
Dr. Dun Jack Fu
Guest Editor
Dr. Francesca Lamanna
Guest Editor Assistant
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Keywords
- age-related macular degeneration (AMD)
- machine learning
- high-resolution optical coherence tomography (OCT)
- multimodal imaging
- multidisciplinary approach
- diagnostic challenges
- serum metabolite biomarkers
- complement system
- histological studies
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