Machine learning model to predict the fitness of AAV capsids for gene therapy

PHYSorg
Apr 21, 2025, 4:54 am144 pts
A new study in Human Gene Therapy describes a machine learning (ML) model that can be used as a surrogate for laborious in vitro experiments. This in silico approach aims to increase the fitness of clinical adeno-associated virus (AAV) capsids to make gene therapies more economically viable for patients.

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