Managed Healthcare Executive August 19, 2024
Gene therapy is enormously complicated, inefficient and slow. Early tests of a newly developed machine learning model show how much faster, and more efficient, it might be.
The field of gene therapy has huge potential for curing genetic diseases. But transportation is a challenge.
To safely and effectively package and deliver new genes to specific cells, where theytake over the role of faulty genes that cause disease, scientists most often engineer adeno-associated viruses to be gene-delivery vehicles. It is a painstaking process. But what if machine learning could provide a high-speed assist?
In study findings published earlier this month in Nature Communications, researchers at the Broad Institute of MIT and Harvard describe a machine-learning approach they developed. It helps engineer...
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