Since it looks like a huge undertaking to collect samples, would the use of digital twinning and the use of machine learning to establish a known set of cellular behaviour to help ascertain whether not only are positive results probable but if more data is necessary based on the percentage likelihood that a simulated behaviour is lifelike be useful to fund studies like this?