Adaptive Machine Learning Framework enables Unprecedented Yield and Purity of Adeno-Associated Viral Vectors for Gene Therapy
Kelvin Idanwekhai, Shriarjun Shastry, Arianna Minzoni, Morgan R. Hurst, Eduardo Barbieri, Eugene N. Muratov, Michael Angelo-Anthony Daniele, Stefano Menegatti, Alexander Tropsha
This paper develops a machine learning framework using Bayesian optimization to enhance the yield and purity of AAV vectors in gene therapy.
bioRxiv · May 23, 2025 · PreprintMolecular Biology