Ome Ogbru, PharmD, CEO and Founder of AINGENS

This episode of the RJ Harris Breakfast Show is a must-listen for anyone interested in the rapidly evolving world of artificial intelligence. Joining RJ Harris in the studio is Ome Ogbru, the CEO and founder of AIGENS, a company that's revolutionizing the way healthcare professionals use AI.

In this insightful conversation, Ome shares his expertise on the benefits and limitations of AI in medicine, highlighting the importance of verifying information and not relying solely on AI for medical advice. He explains how his platform, AIGENS, uses evidence-based design to provide credible information to healthcare professionals, and how this approach can help prevent the spread of misinformation. The discussion also touches on the potential of AI to revolutionize the development of new medicines and treatments.

Ome's passion for using technology to improve healthcare is evident throughout the conversation, and his insights offer a unique perspective on the role of AI in the medical field. From the challenges of verifying information to the potential benefits of AI in medicine, this episode is a must-listen for anyone interested in the intersection of technology and healthcare.

To hear more about Ome's vision for the future of AI in healthcare and how you can stay ahead of the curve, tune in to this episode of the RJ Harris Breakfast Show.

See omnystudio.com/listener for privacy information.

Episode Transcript

Speaker 1 (00:02):
Eight thirty six, twenty forty go till nine o'clock. This
is the RJ. Harris Breakfast Show heard daily on WHB
five eighty, the Mammoth one and thirteen forty in Harrisburg
and thirteen forty WRIWN Reading. Want to welcome to the show,
omi ogbrew only. First of all, good morning, How are you?

Speaker 2 (00:23):
Oh fine? Thank you? How you doing?

Speaker 1 (00:25):
I'm doing extremely well. First of all, could you say
the name of the company that you founded?

Speaker 2 (00:34):
Yes, AIM, it's spelled AI, MGDNS gotch and it stands
for AI Narrative Generation and Engagement Solutions.

Speaker 1 (00:45):
Okay, so we're here today to talk about AI and
the fact that we had I had it marked down
to talk about never gotlet to. Last week a lawsuit
alleging that chat GPT's medical advice brought a man to
the brink of death, and a lot of people are
relying on AI today for medical answers on their own.

(01:10):
What's the issue with that?

Speaker 2 (01:13):
Yeah, that's that's a big problem. We've all been conditioned
to believe that these agents of models have no everything.
They're experts, but they're not. They're not experts in any field,
and they're not doctors or healthcare professionals, and people should
not use them that way.

Speaker 1 (01:30):
So what AI is doing, correct me if I'm wrong,
is searching through various sources and then coming up with
its own decision as to what needs to be done
or its own diagnosis after looking at a lot of
different sources that are out there. Correct kind of.

Speaker 2 (01:51):
It depends on how you use it. A lot of
times users are not aware that they can tell the
model to search the Internet, for instance, for credible information,
so they end up using it internal training knowledge, which
is not very reliable and can be outdated as well.

Speaker 1 (02:08):
How many doctors are using AI? I know you may
not have a fixed number, but I understand the doctors
are relying on AI.

Speaker 2 (02:19):
Yes, millions of doctors and healthcare professionals are using AI.
In fact, there's a platform that's developed specifically for doctors
to use AI. So when we say AI, it's not
just chat, GPT and the geminis and the clouds. There
are specialized models for special use cases as well. So

(02:39):
the use is very broad. But the key thing is
people need to know what the platform can do and
what it can't do, and what it's designed for and
how best to use it and not just assume that
it's an expert. Are incredible?

Speaker 1 (02:52):
Are doctors in healthcare professionals using specific AI models that
are more reliable than your average person like me just
searching a disease?

Speaker 2 (03:05):
Yes? One example is my platform. So doctors use our
platform called my G Medical and Seriance Content Generator that
is designed specifically to develop scientific content from credible evidence
that they identify.

Speaker 1 (03:22):
So how do they do that? I mean, I know
I'm getting into the weeds now, but what makes your
platform different enough to say, Okay, this is credible, I'm
going to accept this as part of the input.

Speaker 2 (03:37):
Yes, So our approach is what we call evidence first design,
which means that the expert is the one who's in control.
They determine that this particular study is what I want
to use to create my content, or I'm going to
connect it to a literature database like pubmedge for instance,
with credible information, and that's the answer is that I'm

(04:00):
going to use because they're derived from already vetted information
that I trust. But even within that, they still need
to be the expert and review the response to make
sure that it's accurate.

Speaker 1 (04:14):
So do you think your platform is an advantage to
some doctors more than others. Now, for example, I'm not
saying that doctors in rural areas aren't continuing their education
and getting to know things, but I'm just wondering if
there's a division anywhere where you know, our platform really

(04:34):
helps more in this area.

Speaker 2 (04:38):
No, not really. The reason why is because the model
or the platform uses advanced AI models that understand a
broad range of topics. So when you bring in your
content or use select what content you wanted to use,
or acknowledge source, I should say the model is able

(04:59):
to use that to help you get to the answers
that you want and also provide traceability as well, and
you can verify that that's where the information.

Speaker 1 (05:09):
Can So we have heard again, you know, getting back
to the layperson, we have heard that AI is changing medicine.
It can figure things out and come up with a pharmaceutical,
for example, in mere moments compared to what it takes
humans to do in a lab over a number of years.

(05:32):
Does your platform do that? Are there platforms out there
that are doing that?

Speaker 2 (05:38):
Yes, our platform is not designed for that, but that
doesn't mean that we won't build one in the future.
There are platforms that you do that. They are specialized
platforms that have been tests that haven't verified, and have
the knowledge source and the data to be able to
do and produce those kinds of outputs. And they're already

(05:59):
drug and devices that were approved using these types of platforms.

Speaker 1 (06:04):
Okay, I'm not going down a political path here, I
assure you when I say this, But doctor Fauci made
big news this week because they subpoenaed him to testify
and he took the fifth So again, I'm not going
down the way of politics, but I went this way
to say once again, all of us are thinking about

(06:26):
COVID and what we went through and how things could
have been different. Would things have been different with COVID
with AI in terms of what we thought was true
and false, particularly as it applies to medicines.

Speaker 2 (06:43):
So I think what you're getting getting that, sorry, is misinformation.

Speaker 1 (06:47):
Okay, yes, yes, and.

Speaker 2 (06:50):
I think that's what you're getting at. Unfortunately, there are
two sides to this coin. So technologies like AI can
be used to counteract misinformation. Unfortunately, there are bad actors
out there that could use the same technology to spread misinformation,
and misinformation spreads even faster than credible information. So the

(07:12):
bottom line is this, So what we all need to
do is we need to all be custodians of the truth.
We need to verify whatever information we hear or receive,
regardless of the source of where it comes from, whether
it came from AI, whether it came from from you know,
the highest person in the land, or whether it came

(07:35):
from an influencer. We always need to check. So I
would like to start an evidence first movement. Actually, so
whatever you hear, verify it, don't just take it as
the truth, so to all the sources.

Speaker 1 (07:51):
So the answer is it will be different because we
will have more options to verify what we're hearing. So
it would be.

Speaker 2 (07:59):
Different if people verify.

Speaker 1 (08:04):
Yeah, yeah, no, that's the key. Yeah, no, you're right.
That is the problem that we have with all this stuff,
including a lot that is seen on social media, is
if it appears there, certain people take it as gospel
and run with it. So listen, before I let you go,
where are you going in the future. What do you
expect that AI engines are going to be looking at?

Speaker 2 (08:30):
Yeah, so we have a lot of plans, big plans.
We do plan to expand from where we are now,
from our current products, which we continue to grow. But
that would be working with our audience, with our customers,
with our enterprise customers, to understand what they need, what
problems they want to solve, because we start with the problem,

(08:51):
not the technology, and then we find a technological solution
to solve that problem. And there are many opportunities out there.

Speaker 1 (08:58):
We've just started this, so you're not necessarily going to
be relegated to just medical. You may go in different directions.

Speaker 2 (09:08):
I think we'll stick within the life sciences realm because
we understand that realm very well, especially a spend over
twenty plus years in healthcare and life sciences, and there
are lots of problems that need to be solved. I
can keep us engaged for many years.

Speaker 1 (09:25):
Well, i'd love to have you on the air again,
and I know Holly keeps we'll be able to keep
in touch with you, and as things change, we'd love
to have you back to help us understand all this.

Speaker 2 (09:38):
Absolutely, I would love to all.

Speaker 1 (09:41):
Right, thank you, take care and have a good weekend.

Speaker 2 (09:44):
Thank you and you too.

Speaker 1 (09:46):
All right, And that is onmi Odbrew, who is the
CEO and founder of AI Engines. Okay, and interesting stuff.
We'll keep you abreast off what's going on eight forty six.

Speaker 2 (10:00):
It doesn't happen anything,