Watch our on-demand program recording where leading Researchers, Clinicians & Pharma Innovators explore the next frontier of structure-function correlation in retinal diseases, including Geographic Atrophy.
Key Highlights
- Explore emerging methods for identifying eligible trial candidates through the integrated analysis of imaging data and EMR.
- Master the correlation between retinal structure and visual function using advanced AI-driven analysis.
- Learn how OCT-derived structural endpoints can improve monitoring sensitivity and identify treatment effects earlier.
- Discover strategies to reduce required patient cohorts and trial duration by utilizing high-correlation structural endpoints.
Presentation Lineup
Using OCT determined anatomical features as endpoints in clinical trials in iAMD
Prof. Robyn Guymer, PhD, MD | Center of Eye Research Australia & University of Melbourne
Functional validation of OCT-Derived Atrophic AMD changes as clinical trial endpoints
Prof. Zhichao Wu, Optom, PhD | Center of Eye Research Australia & University of Melbourne
Fluid analyses in nAMD and DME national databases: FRB! Spain IMAGE & DIADEMA projects
Prof. Javier Zarranz-Ventura, MD, PhD, FEBO | Institut Clínic d'Oftalmologia, Hospital Clinic Barcelona & Universitat de Barcelona
From Phase 3 insight to real-world meaning
Stephen Poor, MBBS, MRCOphth | Apellis Pharmaceuticals
AMD biomarker analysis using RetinAI and High Axial resolution OCT
Prof. Rosa Dolz-Marco, MD, PhD | Heidelberg Engineering, Oftalvist Clinic & Catholic University of Valencia
Prescreening in complex dry AMD clinical trials, using AI-based insights
Prof. Omer Trivizki, MD, MBA | Tel Aviv Medical Center, Tel Aviv University, University of Miami & University of Utah
Validation of photoreceptor metrics in AMD using AO-SLO
Giulia Corradetti, MD | Doheny-UCLA Eye Centers
Streamlining the candidate identification process through AI-powered imaging and EMR data
Prof. Dante Pieramici, MD, FASRS | California Retina Consultants & Retina Consultants of America
From data to evidence: Leveraging RetinAI Discovery® for AI-driven insights in DME (AIDME Classification)
Rodrigo Abreu-González, MD, PhD, FEBO, MBA | Hospital Universitario de La Candelaria, FACME & Sociedad Española de Retina y Vítreo
Bringing RetinAI Discovery® into clinical practice: Scalable implementation models from remote to multi-workstation settings
Juan Donate, MD, PhD | Hospital Universitario La Luz Quirónsalud & Sociedad Española de Retina y Vítreo
Effectiveness of Aflibercept 8mg in nAMD: 12-month results from a multicenter real-world study using AI-based volumetric retinal fluid analysis
Prof. Mariano Cozzi, MSc, PhD | University of Zurich
Comparison of AI-based OCT segmentation measurements between standard and high-resolution OCT in healthy eyes
Prof. Giovanni Staurenghi, MD | University of Milan
Transforming data into insight: AI-integrated database using RetinAI for genotype-phenotype discovery analysis
Prof. Itay Chowers, MD & Shlomit Jaskoll, MD-PhD Student | Hadassah Medical Center
How to optimize a Retina Clinic using fluid quantification
Prof. Marion Munk, MD, PhD | Augenarzt-Praxisgemeinschaft Gutblick AG