Artificial Intelligence Transforms Gene Therapy Development, Addressing Key Challenges in U.S. Healthcare
Artificial Intelligence (AI) is revolutionizing the field of gene therapy, impacting every stage from target discovery to clinical translation. AI technologies, including machine learning, deep learning, and generative AI, are being applied to analyze vast amounts of biological data generated by high-throughput sequencing and multi-omics platforms. This allows for more efficient identification of disease-causing genes, optimization of genome-editing strategies like CRISPR-Cas systems, and the design of novel viral capsids and synthetic delivery systems. For instance, AI-guided directed evolution is significantly reducing the experimental search space for vectors with improved tissue-specificity and immune evasion capabilities. In manufacturing, AI models are being developed to monitor and control bioprocess parameters, aiming to improve the yield and consistency of complex biological products such as viral vectors. The U.S. Food and Drug Administration (FDA) is actively adapting its regulatory frameworks t...