Researchers at MIT and Harvard Unveil a Revolutionary AI-Based Computational Approach: Efficiently Pinpointing Optimal Genetic Interventions with Fewer Experiments

In the field of cellular reprogramming, researchers face the challenge of identifying optimal genetic perturbations to engineer cells into new states, a promising technique for applications like immunotherapy and regenerative therapies. The vast complexity of the human genome, consisting of around 20,000 genes and over 1,000 transcription factors, makes this search for ideal perturbations a […]

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