Prime editing creates desired gene mutations without collateral damage
A new gene editing tool called prime editing was demonstrated to efficiently create cell-specific knockout mice compared to traditional gene editing techniques. While both platforms successfully created mutations, prime editing did so without measurable on-target indels or off-targeting events, according to a study published in Genome Biology on March 16. Read More
Machine-learning system ranks most effective cancer drugs
Scientists successfully trained an ensemble of machine-learning (ML) algorithms to rank clinically relevant cancer drugs based on the drugs' predicted efficacy in reducing cancer cell growth. The study, reported in Nature Communications on March 25, suggests that ML may soon be widely used to predict the most appropriate treatment for individual patients with cancer. Read More
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