Dr. Rahul Gupta

Yeah, so for the person who's just listening here, think about this. We have the ability now today to really accelerate drug discovery by replicating a lot of the complex system biology that we have using neural networks and machine learning to so accurately and efficiently predict the efficacy, effectiveness of a drug, the safety, as well as the off-target effects.

Yeah, so for the person who's just listening here, think about this. We have the ability now today to really accelerate drug discovery by replicating a lot of the complex system biology that we have using neural networks and machine learning to so accurately and efficiently predict the efficacy, effectiveness of a drug, the safety, as well as the off-target effects.

That means those effects that may be otherwise beneficial. So now what's happened is these models are putting a vast amount of biological data like genomics, proteomics, as well as clinical data. And machine learning is working to open new avenues for drug discovery. So these tools, as I mentioned, like deep learning and network analysis are helping us

That means those effects that may be otherwise beneficial. So now what's happened is these models are putting a vast amount of biological data like genomics, proteomics, as well as clinical data. And machine learning is working to open new avenues for drug discovery. So these tools, as I mentioned, like deep learning and network analysis are helping us

pinpoint exact novel drug targets that have maybe potentially overlooked in the past, but they're also doing it with understanding this fewer side effects and increased potency as well as focus. So we're avoiding unnecessary less safer drugs and having fewer failures in clinical trials.

pinpoint exact novel drug targets that have maybe potentially overlooked in the past, but they're also doing it with understanding this fewer side effects and increased potency as well as focus. So we're avoiding unnecessary less safer drugs and having fewer failures in clinical trials.

Certainly, Scott. Look, I never imagined that I'd be here doing this in the world of technology and drug discovery and predictive modeling. But it all begins with, you know, in medical school, I was thinking about how to be a good doctor, how to take care of patients. And I indeed did a pretty good job at that. But I saw where there were needs and sort of holes in our system. So I went up

Certainly, Scott. Look, I never imagined that I'd be here doing this in the world of technology and drug discovery and predictive modeling. But it all begins with, you know, in medical school, I was thinking about how to be a good doctor, how to take care of patients. And I indeed did a pretty good job at that. But I saw where there were needs and sort of holes in our system. So I went up

and got myself a master of public health degree, did public health and policy work for several years. Then I realized that I need to get a master of business administration, I did that. So it's almost like a lifelong learning, but not necessarily getting your CMEs only or what have you, but it's more of figuring out what's out there and needed and what's the call of the hour.

and got myself a master of public health degree, did public health and policy work for several years. Then I realized that I need to get a master of business administration, I did that. So it's almost like a lifelong learning, but not necessarily getting your CMEs only or what have you, but it's more of figuring out what's out there and needed and what's the call of the hour.

So today, for example, there's so many other companies as well that are looking at artificial intelligence affecting life sciences. So it's always the approach of figuring out what's the need of the hour and making sure you are equipped with the tools to help support that need and with the ultimate goal of helping improve human lives.

So today, for example, there's so many other companies as well that are looking at artificial intelligence affecting life sciences. So it's always the approach of figuring out what's the need of the hour and making sure you are equipped with the tools to help support that need and with the ultimate goal of helping improve human lives.

Talk a little bit about anything else you'd like to leave listeners with today. Well, thank you, Scott. And certainly what I'll say is this. We've had decades of this area of drug discovery and all of the aspects. And we've been used to a certain amount of high cost, slow movement.

Talk a little bit about anything else you'd like to leave listeners with today. Well, thank you, Scott. And certainly what I'll say is this. We've had decades of this area of drug discovery and all of the aspects. And we've been used to a certain amount of high cost, slow movement.

I think if there's one thing we will see in health care moving forward in the next five years or less, it would be a revolutionary change. through quantum computing, through artificial intelligence that will accelerate drug screening and hide through output screenings and get us more medication, life-saving medication in the market. I think we ought to be ready for embracing these technologies.

I think if there's one thing we will see in health care moving forward in the next five years or less, it would be a revolutionary change. through quantum computing, through artificial intelligence that will accelerate drug screening and hide through output screenings and get us more medication, life-saving medication in the market. I think we ought to be ready for embracing these technologies.

And that's why I'm so thrilled to be at GATC Health, leading that charge for our nation and for the world.

And that's why I'm so thrilled to be at GATC Health, leading that charge for our nation and for the world.