Kim Walpole

I am.

Yeah.

So, good question.

We are using artificial intelligence to fix what we believe are the two root causes of failure in clinical trials.

So, in simple speak, we're making it really easy for researchers to run clinical trials faster, cheaper, and easier.

Sure.

So we started by training our algorithms on historic data from trials that were both successful as well as not successful, medical journals, basically anything we could get our hands on.

And that allows us to help with the study design or to speak to the study design so that we can give trial sponsors feedback on threats and opportunities.

And then

Once they sign off on that, we feed it into our workflow system that basically acts like a GPS, navigating all of the stakeholders through the trial based on their role.

About three years ago.

Yeah, unfortunately, so it was a guy, Paul, you know, best friend for over 20 years.

And he went to the doctor with a stomachache, came out with five months to live.

And, you know, I had been working with tier one pharmaceutical companies for over 12 years.

So essentially, he was like, look, you know, folks in the space, is there a clinical trial that I can get, that you can get me in?

And unfortunately, you know, I reached out to friends at Columbia, Dana-Farber, you know, all of these really great research companies.

organizations.

And turns out there were only two, you know, potential therapies that might have helped him.

But by the time that, you know, they would get trial ready, he was, he had died.

And so it was one of those like life-changing altering where before it had been, somebody should probably fix problems in clinical trials.