May 20, 2026

On-Demand Event Recording: Advancing Research & Clinical Trial Applications in Ophthalmology

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