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?
Great stuff. Thank you to all.
At least 17 million people in the world are suffering from Chronic Fatigue Syndrome. We must work to find treatment immediately.
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?