Retina Oculomics in Neurodegenerative Disease
Alex Suh1, Joshua Ong2, Sharif Amit Kamran3
1Tulane University School of Medicine, New Orleans, LA, USA. asuh@tulane.edu.
Annals of Biomedical Engineering
|October 19, 2023
Summary
Oculomics uses eye imaging biomarkers to detect systemic diseases like Alzheimer's and Parkinson's early. Advanced technologies and AI offer new ways to diagnose and monitor neurodegenerative conditions for better patient outcomes.
Area of Science:
- Ophthalmology
- Neurology
- Biomarker Discovery
- Medical Imaging
Background:
- Ophthalmic biomarkers are crucial for diagnosing and managing eye diseases.
- Oculomics leverages ocular imaging to gain insights into systemic health.
- Neurodegenerative diseases pose significant health challenges, necessitating early detection methods.
Purpose of the Study:
- To review the application of ophthalmic imaging biomarkers for understanding neurodegenerative diseases.
- To discuss advancements in ophthalmic technologies and their integration with artificial intelligence.
- To highlight the potential of oculomics for early detection and monitoring of systemic conditions.
Main Methods:
- Review of current literature on ophthalmic imaging techniques (e.g., OCT, OCT angiography).
- Exploration of machine learning integration with ophthalmic imaging data.
- Discussion of emerging technologies like eye-tracking.
Main Results:
- Ophthalmic imaging provides valuable insights into neurodegenerative diseases such as Alzheimer's, Parkinson's, ALS, and Huntington's disease.
- Integration of AI with imaging data enhances prognostic predictions.
- Oculomics enables higher acuity detection and monitoring of systemic diseases.
Conclusions:
- Ophthalmic imaging and oculomics offer a promising avenue for early detection and intervention in neurodegenerative diseases.
- Technological advancements are expanding the role of eye imaging beyond ocular health.
- Earlier detection through oculomics can lead to improved quality of life for patients.
