Patient identification remains one of the biggest challenges in clinical trials, often leading to delays, increased costs, and missed opportunities for groundbreaking treatments. Finding the right candidates requires analyzing vast amounts of data, identifying specific biomarkers, and ensuring patients meet trial criteria - tasks that are often time-consuming and complex.

Join Dr. Marion Munk and RetinAI for an exclusive live series on how to transform candidate identification and clinical trial management.

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What will you learn in this live series?

• How to use AI to automate candidate identification and simplify clinical trial management.

• How real-time biomarker evaluation can optimize trial monitoring and decision-making.

• How to accelerate recruitment timelines, cut costs, and enhance ROI with AI-powered patient selection.

• How data-driven insights can improve precision medicine and overall trial outcomes.

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Ready to elevate your Clinical Trial Management? Register now 👇

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Meet our Guest Speaker

‍Prof. Dr. Dr. Marion Munk (MD, PhD), FEBO, FMH is a distinguished ophthalmologist and clinical scientist specializing in retinal diseases, ocular imaging biomarkers, and precision medicine. With extensive experience in translational research, she has played a key role in numerous clinical trials, focusing on the development and optimization of novel therapeutic strategies. Dr. Munk’s expertise includes AI-driven imaging analysis, biomarker identification, and advanced patient selection methodologies to enhance clinical trial efficiency.

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