Peer-reviewed results show that recovery of the pupillary response after light adaptation is significantly slowed in AMD, reinforcing the potential of oculometrics for clinical research and drug development.
machineMD collaborated with the University Hospital Zurich and Berner Augenklinik to study the Recovery of the Pupillary Response After Light Adaptation, finding that it Is Slowed in Patients with Age-Related Macular Degeneration.
This proof-of-concept study demonstrates that consumer-grade VR headsets with integrated eye tracking can detect retinal dysfunction associated with AMD. The method offers a fast, accessible, and potentially scalable approach for retinal disease screening and monitoring. This underscores the role of oculometrics as complementary functional measures in retinal research and clinical trials.
Why this matters in AMD:
-
Objective physiology: Quantitative readouts that do not rely on subjective responses
-
Multi-center consistency: Standardized stimulus protocols suited for site-to-site reproducibility
-
Trial utility: A promising avenue to explore functional biomarkers and endpoint candidates alongside imaging.
Partner with us
Pharma and biotech teams exploring AMD endpoints or digital biomarkers: contact us using the below form to discuss protocol integration and pilot studies.