A YouTube podcast episode (Ben Greenfield Fitness Podcast) featuring Ben Greenfield interviewing Dr. Mounir Zok about biohacking Olympic athletes. Topics discussed include contact lenses for self-quantification and analysis of intraocular fluids versus tears, and the role of artificial intelligence as a decision-support tool for athletes and their support teams (coaches, physiologists, nutritionists, etc.).
You mentioned that the primary purpose of a contact lens for self quantification would be to analyze fluids in the eyes versus tears. So we have other fluids coming out of our eyes aside from tears that we can also analyze?
Yes, you know, so the tears are coming out of, let's say, the tear hole that we have, you know, just outside the eye. However, the fluids that are in the eye, they have a different chemical composition, different compounds are in there. What can we analyze? What can we not analyze? I don't think we need to look at this from an exclusive perspective. It's not about whether do we extract the tear or do we put a contact lens, but I would say it's more about how do we put our hands on technology that we can use in our everyday life with our athletes or with our stakeholders that can extract the information that we're after in the seamless and easiest way possible and inform everyone about what's the best decision that they have to make.
Gotcha. One of the things that appears on your bio is that you delve quite a bit into artificial intelligence. Have you come across the use of AI for something like enhancing sports performance or something that an Olympic athlete might use?
So you know what, I do have sort of over there a philosophical stand, if you want, around technology, because many people refer to technology as enhancing performance. I don't necessarily agree with that. I see technology more as an aid that would enhance decision making. And the real question that I believe everyone should be focusing on is not how can technology enhance performance? But rather how can technology inform all of the stakeholders, athletes, coaches, high performance directors, physical therapists, nutritionists, physiologists, you name it. Everyone working around the athlete to make the most informed decision.
Yeah, I guess that's kind of what I meant. Right. So, yeah, indirectly improving sports performance by supplying quantified intelligence about an athlete's activity. So that programming could be altered to, to enhance that. That athlete's response to training, I guess, is. I think we're on the same page basically, you know, in terms of, of how these things would be used. But artificial intelligence, how would that be used, for example, for, for a coach or, or a scout or anyone else to gather data about a player'?
