Stanford dedicated the BIL gate's design to the public domain, which may speed its adoption.  According to Endy, other researchers were already using the gates to reprogram metabolism when the Stanford team published its research.
Computing by transcriptor is still very slow; it can take a few hours between receiving an input signal and generating an output. Endy doubted that biocomputers would ever be as fast as traditional computers, but added that is not the goal of his research.  "Were building computers that will operate in a place where your cellphone isnt going to work", he said.  Medical devices with built-in biological computers could monitor, or even alter, cell behavior from inside a patients body.  ExtremeTech' writes:
UC Berkeley biochemical engineer Jay Keasling said the transcriptor "clearly demonstrates the power of synthetic biology and could revolutionize how we compute in the future".