Yes, sure. Again, we constantly talk about the idea of acceleration. I think the technical term of NP-hard has been brought up a few times as well. The reason that we have such a difficult time communicating this computational part from an everyday perspective is that you really need to be almost on the front lines of development and training to understand how much time and energy it actually entails.
We can make the metaphor, for example, recently with COVID-19 vaccination, when you read those stories of Pfizer and AstraZeneca or any of the drugs that have been developed over there, as well. Some of those mRNA platforms were able to generate candidate molecules in the order of about 48 hours to 72 hours. Yet, if you look at our recent experience with the vaccine rollout, as well, that was on the order of months to years. A lot of that was spent in the validation phase of things.
For any of you who are not familiar with molecular or drug development, the idea that you could have a candidate molecule ready for potential trials within 48 hours is extremely unusual. If you look at the history of vaccines previously, we were always on the order of years. You can look historically at polio for example and at how long that vaccine development took. It's sort of that transformation. To many of us, from the medical establishment perspective as well, some of the developments that were done there have been extremely cutting edge in some sense.
So if I take that metaphor there of being able to develop a candidate molecule in about 48 hours for vaccination, you start applying it to nearly everything else as well. If we want to do chemical molecular testing right now, what we would ordinarily do in vivo or in vitro—meaning just on an experimental basis—takes years of development, such as for a new chemotherapy drug or molecule, and anti-microbial molecules as well. A lot of that takes a lot of coordination, effort, energy, investment by the private sector, and by the public sector as well. If you can transform that and take out this very difficult component and vastly accelerate it, the applications are going to change by quite a bit.
If I talk to voice recognition right now, I can say a trigger key word to my smartphone and start speaking to a computer there. I remember when I was in high school, as a kid, trying to get voice recognition to work on my computer. I would sit there, talk to my computer for three hours, and the accuracy would be abysmal. The idea right now that you can call out to your phone and it just automatically works all of a sudden...it was a gradual transition, but now you can actually see that application take place.
A lot of the discussion here in the committee room right now is focused on security implications, on the negative possible effects too, but that acceleration will work in both ways potentially as well. Some of those things that are taking so much time and effort to be able to do are going to be vastly accelerated, and if they are, there are going to be positive effects and negative effects. We hope to control the negatives and be able to empower the positives and make sure that they are equally representative of all the possible benefits and have Canada be part of that discussion. Some of those changes that you've seen in computing before, over the last 10 or 15 years, will hopefully, on the positive end of things, represent themselves as well, so you're going to get these massive innovations that we can hopefully harness and help many people with.