Dr. Jigar Patel

And we can use AI to look back on those things and make correlations as well. Now, when you think about how do you then incorporate a whole genome to the condition that is a chronic condition as well, it doesn't have to be linear or this snippet means that thing. It could be this constellation of snippets means this thing. AI and machine learning in general is good at finding patterns.

And we can use AI to look back on those things and make correlations as well. Now, when you think about how do you then incorporate a whole genome to the condition that is a chronic condition as well, it doesn't have to be linear or this snippet means that thing. It could be this constellation of snippets means this thing. AI and machine learning in general is good at finding patterns.

And so those patterns that may have eluded a human, in this large volume of information about this individual can be made easier.

And so those patterns that may have eluded a human, in this large volume of information about this individual can be made easier.

It could also go beyond that. It could go generation. Oh, generational. Yeah, yeah, yeah.

It could also go beyond that. It could go generation. Oh, generational. Yeah, yeah, yeah.

Now, we're going to be in an era where many of our records have been digitized. Now our kids' records are digitized. Right. And you correlate those things together.

Now, we're going to be in an era where many of our records have been digitized. Now our kids' records are digitized. Right. And you correlate those things together.

That a human might not do, but an artificial intelligence could do.

That a human might not do, but an artificial intelligence could do.

Yeah, I mean... There's been studies that have shown Google searches predict epidemics or seasonality of flu or those sorts of things. So looking at various data streams and correlating them together in a way that is forward looking to say, is this an anomalous behavior to the normal state? Right.

Yeah, I mean... There's been studies that have shown Google searches predict epidemics or seasonality of flu or those sorts of things. So looking at various data streams and correlating them together in a way that is forward looking to say, is this an anomalous behavior to the normal state? Right.

And correlating more varied constellation of symptoms and grouping of symptoms that says, wait, this might be unique. That can be done more readily. Now, public health infrastructure in general, I think people would largely agree, needs an uplift. It's behind many other industries in how we think about data acquisition, data sharing.

And correlating more varied constellation of symptoms and grouping of symptoms that says, wait, this might be unique. That can be done more readily. Now, public health infrastructure in general, I think people would largely agree, needs an uplift. It's behind many other industries in how we think about data acquisition, data sharing.

There's state and local and federal restrictions and all those problems that come with the data that you want to have that we have to battle past. But absolutely, the capability of AI to look at large data streams and say, wait a minute, where are the patterns in here? Could help.

There's state and local and federal restrictions and all those problems that come with the data that you want to have that we have to battle past. But absolutely, the capability of AI to look at large data streams and say, wait a minute, where are the patterns in here? Could help.

Could help. And then that could lead to time savings in an action perspective.

Could help. And then that could lead to time savings in an action perspective.

Yeah. On the drug discovery side, there's already been some frightening examples of drug discovery being done through AI, right? And creating compounds that are novel and have different properties that could be potentially brought to bear sooner. So it doesn't take a human chemist to really sort through those things. Yeah. Understand those things.

Yeah. On the drug discovery side, there's already been some frightening examples of drug discovery being done through AI, right? And creating compounds that are novel and have different properties that could be potentially brought to bear sooner. So it doesn't take a human chemist to really sort through those things. Yeah. Understand those things.