Machine learning lets scientists reverse-engineer cellular control networks
In vivo validation of the computationally-discovered, partially converted tadpole phenotype. Credit: Daniel Lobo, Maria Lobikin, Michael Levin The flow of information between cells in our bodies is exceedingly complex: sensing, signaling, and influencing each other in a constant flow of microscopic engagements. These interactions are critical for life, and when they go awry can lead to the illness and injury. Scientists have isolated thousands of individual cellular […]