Imaging Biomarkers for Retinal Diseases: Prognostic Tools and Novel Clinical Trial Endpoints for Precision Medicine
A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Disease Biomarker".
Deadline for manuscript submissions: closed (31 May 2024) | Viewed by 5483
Special Issue Editor
Interests: imaging biomarkers; deep learning; retinal diseases; advanced image analysis; intraaoperative OCT; precision medicine
Special Issue Information
Dear Colleagues,
Advancements in imaging technology have transformed the field of retinal diseases through new insights in disease pathogenesis and prognosis. Advancements in image feature extraction and analysis technology, such as machine learning, has enabled the next-generation identification and quantification of imaging biomarkers for macular diseases across multiple imaging modalities. These biomarkers present unique opportunities to enhance personalized medicine in retinal disease management through improved patient education, progression risk prognostication, clinical trial enrichment, and even new potential end points. As new therapies emerge, the enhanced phenotyping of these biomarkers may provide important information regarding precision medicine and decision-making for treatment. This Special Issue of the Journal for Personalized Medicine aims to highlight imaging biomarkers for retinal diseases across various modalities using advanced image analysis techniques. We look forward to receiving manuscripts related to new imaging biomarker discovery, image analysis techniques, and assessments of imaging biomarkers within clinical trial datasets.
Prof. Dr. Justis P. Ehlers
Guest Editor
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Keywords
- age-related macular degeneration
- diabetic eye disease
- optical coherence tomography (OCT)
- fluorescein angiography/ultra-widefield fluorescein angiography (UWFA)
- fundus autofluorescence OCT angiography
- retinal disease
- macular disease
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