AI Revolutionizes Gene Therapy with Precise RNA-Targeting CRISPR

Researchers have developed a deep learning model called TIGER that accurately predicts the on- and off-target activity of RNA-targeting CRISPR tools. This AI-powered approach allows for precise modulation of gene activity in human cells, potentially revolutionizing gene therapy. By minimizing off-target effects, TIGER's predictions could improve the design of CRISPR therapies, offering new treatment options for diseases caused by over-expression of certain genes or providing a novel way to combat viral infections. The study highlights the potential of combining artificial intelligence with RNA-targeting CRISPR screens to advance the development of RNA-targeting therapies.