Big Pharma Fails 50% of the Time in Phase Three. AI Can Fix That | Vin Singh, BullFrog AI
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Why do 50% of Phase‑III drug trials fail and how could AI change that?
The point of this is to increase likelihood that a clinical trial will succeed.
Considering it takes ten to fifteen years and one to two billion dollars to develop a drug, it's quite shocking that big pharma fails fifty percent of the time in phase three.
Are you concerned about competition from big pharma who may be developing?
We discovered the biological drivers of those diseases. We believe we've discovered the genes that drive depression, bipolar, and schizophrenia from a one-of-a-kind data set that does not exist anywhere in the world.
It seems that you would be an acquisition target by Zigfarm.
Let's see if we can get one of these drug discovery AI deals done or target discovery deals done.
Introduce yourself to listeners how you got to Bullfreek.
Craig, thanks for having me today. Great to be here. So my name is Vin Singh. I'm the chairman, founder, and CEO of Bullfrog AI. We are a publicly traded company under the symbol BFRG on NASDAQ. So obviously there are certain things I won't be able to say or questions I might not be able to answer, but looking forward to it. So a little bit about me. I have almost 30 years of industry experience, life sciences, biotech. I'm a biomedical engineer by training. I'm a three-time founder of investor-backed companies. Two of them have gone public. Uh the The first company I co founded is a company called MaxSite, symbol as MXCT, as a cell therapy system. Systems company. When they went public on NASDAQ several years ago, there I think the market cap was around 1.5 billion.
Obviously, biotech's been beaten down pretty hard over that period of time. After that, I founded a company called Next Healthcare, which was at the time the world's first adult skin cell and stem cell banking company for regenerative medicine applications. Yeah. Uh and that company's still operating and doing some different things today. And then About eight years ago, I I founded Bullfrog. And um the reason I founded the company was I I was you know very surprised by the high failure rates in late-stage clinical development. And uh, you know, t considering it takes ten to fifteen years and one to two billion dollars to develop a drug, it's uh quite shocking that big pharma fails fifty percent of the time in phase three.
It doesn't it didn't make sense to me. And I also realized if I could make a difference. There's a lot of people that will benefit from drugs that maybe otherwise wouldn't. And I think uh the trickle-down effect would be, you know, drugs would be more affordable in general if you have more success, right? Because somebody's paying for all those failures, right? And it's unfortunately it's the healthcare system that's paying for it. So I, you know, I started the company and That the the original focus was why don't we try to rescue failed drugs? Cause there's like a ocean of them out there. Um obviously, you know, it it's and it's still something that we're interested in, but when I had started first, I realized, wow, that's going to require a tremendous amount of capital.
Yeah.
And the funding environment is not what it is today, right? Where many billions are just flying around, right?
What is Vin Singh’s background and why did he start Bullfrog AI?
Back then, you know, eight eight years ago, uh AI, artificial intelligence was not really a you know uh well-known term. Um you know, now it's like every human being on earth knows what it is. So it's just we're in a different world. But um so I started the the you know the the company I s you know I I realized like we you know technology is the key here, right? Right. Yeah. And um I had relationships with Johns Hopkins University. I did my MBA there and I was a mentor in residence as as well. And um You know, I was hunting around and it turned out that they had a subsidiary called the Applied Physics Lab or APL. And um You know, uh one thing led to another and you know, discovered that, hey, this is a multi-billion dollar subsidiary uh that has incredible technology and does very sensitive defense work.
Um, and like you can literally can't even get in any of the buildings there.
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Chapters
7 chapters
1
Why do 50% of Phase‑III drug trials fail and how could AI change that?
0:00–3:34
2
What is Vin Singh’s background and why did he start Bullfrog AI?
3:34–10:24
3
How did Bullfrog secure the Johns Hopkins Applied Physics Lab AI platform?
10:24–22:42
4
What are Bullfrog’s three core platforms – BF Prep, BF Leap, and BF Arenas?
22:42–34:17
5
How did the Lieber Institute data reveal driver genes for depression, bipolar and schizophrenia?
34:17–42:14
6
What AI‑driven insights did Bullfrog uncover in the pancreatic‑cancer Phase‑III trial?
42:14–45:19
7
How does Bullfrog’s causal‑AI and scalable graph analytics improve target selection?
45:19–49:47
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