Objective:
To develop an AI-driven mathematical model that predicts the growth patterns of geographic atrophy (GA) in patients with age-related macular degeneration (AMD).
Key Findings:
- GA lesion growth is nonlinear and follows a Gompertz curve, indicating bounded growth with an asymptote.
- A significant proportion of patients may already be at or near their asymptotic limit when enrolled in clinical trials.
- Using fellow eyes as controls in trials can introduce bias due to differing growth phases.
Interpretation:
The findings suggest that understanding the nonlinear growth of GA can improve clinical trial design and patient management by identifying optimal treatment phases.
Limitations:
- Full mathematical methods and statistical details are pending publication.
- The model's applicability may vary across different patient populations.
Conclusion:
The AI model offers a promising tool for predicting GA progression, which could enhance clinical decision-making and trial designs.
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