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Integrating genetics, age and imaging to predict treatment outcomes in neovascular age-related macular degeneration: a proof-of-concept study

Abstract To evaluate the feasibility of integrating genetic, imaging, and demographic data for predictive modelling of treatment outcomes in neovascular age-related macular degeneration (nAMD). Proof-of-concept retrospective cohort study with prospective DNA collection. Patients with unilateral nAMD...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Ismail Moghul, Nikolas Pontikos, Anitta Sharma, Timing Liu, Taha Soomro, Siegfried K. Wagner, Alan Sousa Silva, Gongyu Zhang, Gunjan Naik, Pallavi Bagga, Yiu Wai Chan, Pearse A. Keane, Valentina Cipriani, Sobha Sivaprasad, Andrew R. Webster, Konstantinos Balaskas
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2026-03-01
Schriftenreihe:Scientific Reports
Schlagworte:
Artificial intelligence
Multimodal AI
Predictive modelling
Age-related macular degeneration
Imaging
Genetics
Online-Zugang:https://doi.org/10.1038/s41598-026-41931-3
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