One thing we're trying to do—again, we have close collaboration with the DREs in California—is take the measures they think have the best possibility for being accurate detectors of cannabis-related impairment and doing further validation. There are some good studies out there in the field looking at how they relate to impaired drivers, one of which I showed, but there aren't really any blind clinical trials to say, if you don't give someone cannabis and you do these tests, how well do they do, and how well do the officers detect those people who are impaired or not? In our study, we relate it to actual driving performance.
The first thing is to see if we can help improve the validation for the current measures. We are also in the process of trying to do additional measures—again, these are some iPad-based tests—to really get a cognitive task. That might be complicated to implement, but it would probably be worthwhile, because there is so much complication when it comes to testing for other drugs, like prescription medications. On those tests, we are looking at the ability to divide attention and the ability to track objects in real time. We're also doing a measure of time estimation and working with the DREs—on some of the measures, they look at balance and sway—to see if we can give them some more objective outcomes rather than having to sort of eyeball how well the person is doing.