Our ongoing relationships with patients and ophthalmology practices allow us to follow disease over time and shape the data we collect around the scientific and clinical questions we need to answer. This collaborative ecosystem ensures transparency that drives continuous engagement and supports evidence-based, patient-centric discoveries.

Human genetics is central to Character Arc™. By analyzing genetics alongside deep longitudinal clinical and imaging data, we can investigate the biology associated with variability in disease progression. By investigating genetic blueprints using techniques like polygenic risk scores, we uncover deep insights into disease mechanisms and identify therapeutic targets for patient subgroups.

Our approach incorporates longitudinal clinical data—electronic medical records, imaging, physician notes, surveys—collected over time to understand disease and treatment response across the full arc of a patient’s journey and observe how it progresses and changes. This enriched perspective helps us prioritize and address the most important unmet medical needs.

Leveraging frontier AI and computer vision tools, we identify biomarkers from images to track disease trajectories. Instead of modeling disease as simply present or absent, we model the endpoints of disease progression, offering a more nuanced view of disease states and the optimal windows to intervene.