Leroy Hood

Right.

And as Dr. Lee Hood, who invented the first automated gene sequencers, calls it systems biology.

You need a chemist.

You need an IT specialist, an AI specialist.

So Booth Gardner appointed me to the board of the University of Washington Medical Center back in the 90s.

Mary Gates was on the big board, and Dr. Fiaco was then deemed.

He went and came down to the board and said, we've got to get this guy, Dr. Lee Hood from Caltech, who invented the first automated gene sequencers and protein sequencers, and we have to get into this new space, genetics.

And so I was always coachable as a football player and whatever else.

And the four P's, I guess we should talk about them, in P4 medicine stand for predictive, preventive, personalized, and participatory.

And apparently the framework for P4 medicine, a little trivia, was first described by Dr. Leroy Hood.

He was a renowned molecular biologist out of Seattle in 2008, which is actually not too far from you, Penny.

That's right.

Hang on for a second.

If we sign this deal that we've deputized Lee Hood to negotiate for two years.

Right.

And now we're all set to sign.

Mm-hmm.

Um, we also have GVSU has a large event coming up tomorrow with Dr. Lee Hood, who, uh, was part of the Human Genome Project.

Oh my gosh.

He's gonna be speaking.

So InDiagnostics, the, the full name is Integrated Diagnostics, and it's kind of interesting 'cause that was the original name of my first company in 2009 when we spun out.

But we did a quick check, and, um, there was a company that was already called Integrated Diagnostics up in Seattle run by Leroy Hood.

And so we're like, "Oh, man, that's like our dream name," because it's Intel.

It's integrated electronics, Integrated Diagnostics.

If that happens, you're gonna degrade the information that's in that code long before you'll ever generate a new, a, a, a software program or operating system.

And, um, Richard Dawkins and many, many others biologists ha- have, have acknowledged that what we have in DNA is akin to machine code or, as Leroy Hood puts it, digital code.

It's th- it's functioning in exactly the same way.

So what we've learned from software writing and using is highly relevant to understanding whether or not the mutation selection mechanism would actually generate, could generate conceivably or realistically new information.