A more effective experimental design for engineering a cell into a new state

A more effective experimental design for engineering a cell into a new state

A new machine-learning approach helps scientists more efficiently identify the optimal intervention to achieve a certain outcome in a complex system, such as genome regulation, requiring far fewer experimental trials than other methods.

A more effective experimental design for engineering a cell into a new state

A strategy for cellular reprogramming involves using targeted genetic interventions to engineer a cell into a new state. The technique holds great promise in immunotherapy, for instance, where researchers could reprogram a patient's T-cells so they are more potent cancer killers. Someday, the approach could also help identify life-saving cancer treatments or regenerative therapies that repair disease-ravaged organs.