Transforming RWE in Eye Care with Image-Derived Data

Explore how the latest advances in AI, imaging, and data harmonization are transforming RWE generation in Ophthalmology, and how these insights can drive value across the entire pharma pipeline, from research and development to market access and post-market assessment and monitoring.

6 PM CET I 12 PM ET

Online

Join us live!

When looking for Ophthalmology Real-World Evidence (RWE) datasets, most of what’s available on the market is built from real-world data (RWD) pulled from healthcare systems, starting with EHR data. But in eye care, this only tells part of the story, and EHR data itself is often not standardized, with structures, formats, completeness, and quality varying widely between physicians, patients, and datasets. 

Images are a centerpiece in Ophthalmology, holding the core disease and outcomes information, and from them you can derive the insights that give full meaning to EHR data. 

Rethinking RWE in Ophthalmology: Combining AI-powered imaging and clinical data

Join our webinar to explore how the latest advances in AI, imaging, and data harmonization are transforming RWE generation in Ophthalmology, and how these insights can drive value across the entire pharma pipeline, from research and development to market access and post-market assessment and monitoring.

In this webinar, you will:

  • Learn how the RetinAI algorithms generate detailed anatomical and structural measurements, to shorten development timelines, improve trial design, and support regulatory submissions 
  • See concrete examples of how imaging-first RWD generation in clinical practice leads to higher quality research-grade data, deeper disease insights, and measurable clinical and research outcomes
  • Learn how organizations use RetinAI’s RWE solutions to unlock new opportunities across the drug development lifecycle

Who will benefit from this session: 

  • Life sciences organizations seeking trusted, high-quality RWE for drug development, regulatory submissions, trial design and commercial strategies
  • Researchers aiming to generate standardized, actionable insights from ophthalmic imaging data
  • Clinicians interested in applying AI-powered analytics to real-world datasets
  • Stakeholders exploring oculomics and the broader health insights that can be derived from the eye

More about RetinAI’s RWE solutions:

Your data + RetinAI Discovery platform: Upload your own real-world data and apply our AI models to generate standardized RWE.

RCA data + RetinAI Discovery platform: Access the high-quality, de-identified dataset from Retina Consultants of America (covering patient demographics, clinical and treatment data, and ophthalmic images) combined with our AI analytics for ready-to-use RWE. More information on our website here: https://www.retinai.com/products/real-world-evidence 

Meet our Guest Speaker

Rodney Mood is the Head of Business Development, Real-World Evidence, at RetinAI, where he helps pharmaceutical partners unlock the value of ophthalmology real-world data to accelerate innovation and improve patient outcomes. With over 20 years of experience in life sciences, healthcare data analytics, and RWE, he has guided pharmaceutical and medical device companies from targeted projects to enterprise-wide RWE strategies spanning entire product lifecycles. Prior to joining RetinAI, he held leadership roles at Verana Health, Epividian, GSK, and Takeda, where he advanced the use of real-world data and analytics to inform decision-making. He is passionate about transforming RWD into actionable insights that drive better treatments and measurable patient impact.