Machine learning is helping biologists solve hard problems, including designing effective synthetic biology tools. Scientists have now created a set of algorithms that can effectively predict the efficacy of thousands of RNA-based sensors called toehold switches, allowing the rapid identification and optimization of sequences that can act as biological sensors for medicine and other applications.
