Manuel Opitz: Predictive AI in Ophthalmology and Personalized Eye Care | Stories in Life Sciences

What if doctors could predict how a patient will respond to treatment before giving it? In this episode of Stories in Life Sciences by MedAxis AI, Christopher Wilson sits down with Manuel Opitz, CEO and Co-founder of Deep Eye Medical, to explore how predictive AI is shifting ophthalmology from reactive treatment to personalized, data-driven care.In ophthalmology today, the standard approach is trial and error. Treat, wait six to eight weeks, image again, then adjust. One in three patients drops out of treatment every year. When they stop coming, they go blind. Manuel's team built the first predictive AI approved in ophthalmology, a technology that predicts treatment response before the next injection and helps doctors keep patients engaged in their care.We cover:Why one in three ophthalmology patients drop out of treatment and what happens when they doHow Deep Eye Medical's predictive AI shifts care from "treat and extend" to "predict and treat"Why 15 years of drug development has not improved treatment efficacy in ophthalmologyThe regulatory path to becoming the first approved predictive AI in ophthalmologyWhat Manuel calls "the dark side" of commercialization and what founders should expectThe journey from engineer to CEO in a highly regulated healthcare AI environmentWhat personalized, predictive medicine looks like in clinical practice todayWho this is for: founders, clinicians, investors, and researchers in healthcare AI, ophthalmology, medical devices, and digital health who want to understand what predictive medicine looks like in practice.Guest: Manuel Opitz, CEO and Co-founder, Deep Eye Medical https://deepeye-medical.com https://www.linkedin.com/in/manuelopitz https://www.linkedin.com/company/deepeyeHost:Christopher Wilson, Founder, MedAxis AI www.medaxisai.orghttps://www.linkedin.com/in/christopher-wilson-medaxisai https://www.linkedin.com/company/medaxisaiFollow Stories in Life Sciences on Spotify, Apple Podcasts, and YouTube for new episodes.