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GEAR

Accelerating vector optimization for gene therapies in retinal diseases via AI models
20
researchers and partners
From 10,000,000 to 2
Identify the most specific viral vectors

Description

Objectives

  • Develop optimized viral vectors to facilitate the delivery of retinal gene therapies.

Results

  • Creation of high-performance AAV vectors for retinal gene therapy.
  • Acceleration of the discovery-to-application cycle thanks to structured data management and AI tools.
  • Development of scalable and reproducible workflows for the design of gene therapy solutions in ophthalmology.

Issues

  • Limited effectiveness of existing AAV vectors in targeting photoreceptors.
  • Complex collaboration between researchers in experimental (wet lab) and computational (dry lab) laboratories.
  • High costs and inefficiency of traditional AAV development approaches based on random designs.

ADLIN's role

  • Deploy a collaborative workspace to structure and manage all multi-omics and analytics data.
  • Ensure traceability and reproducibility of experimental and computational processes.
  • Provide analytical tools and pipelines integrating wet lab and in silico approaches.