Artificial Intelligence as a Catalyst for Cell-Based Therapies in Retinal Disease
Retinal degenerative diseases, including age-related macular degeneration (AMD), retinitis pigmentosa (RP), and Stargardt disease, represent leading causes of irreversible vision loss worldwide, collectively affecting hundreds of millions of people. Cell-based therapies, particularly those leveraging induced pluripotent stem cells (iPSCs), retinal pigment epithelium (RPE) transplantation, and CRISPR-Cas9 gene editing, have emerged as promising treatment modalities that may preserve, replace, or partially restore…
AI tools could make retinal cell therapies more efficient, reproducible and personalized by supporting patient selection, stem cell quality control, gene-editing checks, manufacturing and post-transplant imaging follow-up.
AI's necessity for retinal cell therapy is unproven, and data scarcity, interpretability, regulatory compliance and clinical validation remain unresolved.
The proposed AI pipeline is a forward-looking framework that has not been clinically validated, and the authors say AI's necessity for these therapies has not been demonstrated.
Evidence
- Peer-reviewedCells2026-10-16
How should this claim be treated?
Truvace Impact Record TRV-2026-1695, v1: “Artificial Intelligence as a Catalyst for Cell-Based Therapies in Retinal Disease.” Truvace, 2026-10-17. /record/TRV-2026-1695 (accessed at citation time). sha256 d8225a660ea2748e…
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