I was talking to someone the other day, and the term used was “soup to nuts”. We do research on almost anything. The 18,000 scientists we just funded—as you can imagine—would do almost anything in your sphere of interest.
To be honest, data is everything we do. Science is about generating data, whether it's clinical science to improve the care we give or to image better...and everything.
I'll give you one example. Unfortunately, it's not Canadian, but this is where we want to be.
This past week, in The Lancet, our Swedish colleagues published a trial in a public health domain. They randomly allocated one group versus another and compared the use of AI-supported evaluations of breast screening against the standard of care, which is two doctors. In that, the AI-supported evaluation came out ahead. It decreased the workload of doctors by 44%. It decreased the rates.... Well, it found more cancers early on, with interval screening between two points in time. It found cancers earlier, and these were more treatable.
We want to do those kinds of studies in Canada. At this point, we are still wishing we could.