Modern ophthalmology is increasingly driven by large and complex datasets generated through advanced ocular imaging, genomics, proteomics, electronic health records, wearable technologies, and other digital platforms. Data science and artificial intelligence are creating new opportunities to identify patterns associated with disease development, progression, treatment response, and visual outcomes. Multi-omics approaches can help uncover molecular signatures and biological pathways that may not be apparent through conventional clinical assessment alone. Integrating multimodal clinical, imaging, and molecular data may support more accurate prediction, earlier detection, and personalized approaches to ophthalmic care. This session will explore emerging data-driven methodologies, biomarkers, computational approaches, and translational applications shaping the future of precision ophthalmology and vision science.
Ocular Biomarkers, Multi-Omics & Data Science Conferences