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WhiteLab Genomics
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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.