Engineering Human Retinal Organoids and Eye-on-a-Chip Models for Degenerative Eye Disease.

Area of Science:

• Ophthalmology
• Regenerative Medicine
• Biomedical Engineering

Background:

• Degenerative eye diseases cause significant irreversible vision loss globally.
• Limited effective treatments are partly due to a lack of suitable human disease models.
• Retinal organoids derived from stem cells mimic human retinal structure and function.

Purpose of the Study:

• To review engineering innovations in retinal organoids and eye-on-a-chip models.
• To highlight advancements for modeling degenerative eye diseases.
• To discuss future directions for disease modeling and therapy development.

Main Methods:

• Review of conventional organoid differentiation and characterization techniques.
• Integration of microfluidics and biomaterials for enhanced organoid development.
• Application of artificial intelligence, multimodal sensing, and data analytics for functional prediction.

Main Results:

• Emerging strategies improve the dynamic and physiological relevance of retinal organoid environments.
• AI and advanced analytics enhance monitoring and prediction of retinal function and treatment efficacy.
• Engineered models show promise for studying disease mechanisms and evaluating therapeutic interventions.

Conclusions:

• Next-generation retinal organoids and eye-on-a-chip models are crucial for advancing degenerative eye disease research.
• Engineering innovations are key to developing more accurate models for drug discovery and vision restoration.
• These models hold potential for personalized treatments in precision ophthalmology.