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- safe to use (because something people drop dead when they come in contact)
- it worked better than any other semiconductor in the same field (maybe you just made it up?)
- it still worked when you gave it to a lot of people who used it in a near real life environment (strange thinsg happen when you give new stuff to a lot of people in an uncontrolled environment).
After you have done all that successfully, you still needed to:
- convince the regulatory committee that it is really a good idea to approve this semiconductor (BTW, this step alone would take about one year)
- then you have to manufacture the semiconductor (actually, you probably need to build the fab first)
- then you can sell it (you hope that people really want it).
If you think this through, you will understand why therapeutics is different in many respects from all other industries.
I have first-hand experience in this, because I worked as a science advisor to a biotech startup(currently in stealth mode). The former company of the founder of this startup was a technology company, and the biggest adjustment they had to make was realizing how much of a difference the regulatory environment makes.
To be able to scale up to the expectations set by Dr.Grove we need more collaboration between pharma companies and simulation and modeling Engineers to generate models that can mimic specimens.
Clinical trials are expensive and I am wondering if there is no machine based system that can replicate clinical specimens. Agreed that system building is expensive and time seeking but that's a challenge for computer scientists. And,if machine based system is not a good idea why not legislate more funding for tissue cell research that can probably replace clinical specimens?