Dr. Scott Sherr

AI, when you're looking at how we're gonna use this kind of system to enhance and understand and diagnose GABA deficiency, the keys with AI always, and I know this very well because one of the guys, one of my mentors and the founder of the companies that I work with

AI, when you're looking at how we're gonna use this kind of system to enhance and understand and diagnose GABA deficiency, the keys with AI always, and I know this very well because one of the guys, one of my mentors and the founder of the companies that I work with

AI, when you're looking at how we're gonna use this kind of system to enhance and understand and diagnose GABA deficiency, the keys with AI always, and I know this very well because one of the guys, one of my mentors and the founder of the companies that I work with

is one of the founders or like one of the early guys in ai back in the 80s and 90s the most important thing about ai not only is it the algorithm itself but also the inputs the prompts as it were that you're using to create the ai system without prompts you're not going to have a great ai output when you're thinking about

is one of the founders or like one of the early guys in ai back in the 80s and 90s the most important thing about ai not only is it the algorithm itself but also the inputs the prompts as it were that you're using to create the ai system without prompts you're not going to have a great ai output when you're thinking about

is one of the founders or like one of the early guys in ai back in the 80s and 90s the most important thing about ai not only is it the algorithm itself but also the inputs the prompts as it were that you're using to create the ai system without prompts you're not going to have a great ai output when you're thinking about

diagnosing or enhancing the GABA system, you have to know what the inputs are going to be to create the ecosystem in the body that you're going to allow the most optimal recovery of the GABA system in this capacity. So for me, the way I see AI working is that you're going to be able to look at multiple different

diagnosing or enhancing the GABA system, you have to know what the inputs are going to be to create the ecosystem in the body that you're going to allow the most optimal recovery of the GABA system in this capacity. So for me, the way I see AI working is that you're going to be able to look at multiple different

diagnosing or enhancing the GABA system, you have to know what the inputs are going to be to create the ecosystem in the body that you're going to allow the most optimal recovery of the GABA system in this capacity. So for me, the way I see AI working is that you're going to be able to look at multiple different

inputs at the same time knowing what those inputs are at least in essence and then having algorithms that are trained on what's happening cellularly in various types of permutations to know what may be going on Then you can take those permutations along with the inputs that you created and the prompts, and then you have an output that's going to be fantastic.

inputs at the same time knowing what those inputs are at least in essence and then having algorithms that are trained on what's happening cellularly in various types of permutations to know what may be going on Then you can take those permutations along with the inputs that you created and the prompts, and then you have an output that's going to be fantastic.

inputs at the same time knowing what those inputs are at least in essence and then having algorithms that are trained on what's happening cellularly in various types of permutations to know what may be going on Then you can take those permutations along with the inputs that you created and the prompts, and then you have an output that's going to be fantastic.

Especially John, when you're not only looking at one subset of data, but you're looking at multiple sets of data. And the way I think about this is that right now, everybody knows about the genome, right? Everybody knows about genomics, but we have. genomics, we have transcriptomics, we have proteomics, we have metabolomics. These are all various levels of expression of our DNA.

Especially John, when you're not only looking at one subset of data, but you're looking at multiple sets of data. And the way I think about this is that right now, everybody knows about the genome, right? Everybody knows about genomics, but we have. genomics, we have transcriptomics, we have proteomics, we have metabolomics. These are all various levels of expression of our DNA.

Especially John, when you're not only looking at one subset of data, but you're looking at multiple sets of data. And the way I think about this is that right now, everybody knows about the genome, right? Everybody knows about genomics, but we have. genomics, we have transcriptomics, we have proteomics, we have metabolomics. These are all various levels of expression of our DNA.

We have epigenomics as well. We have so many others. Then we have the capacity with AI soon to be able to, excuse me, to crunch all this data and find ways to be able to harness it to create significant change in the system. Knowing, of course, how to prompt the data beforehand to make sure that we're getting things that make sense. That's the key.

We have epigenomics as well. We have so many others. Then we have the capacity with AI soon to be able to, excuse me, to crunch all this data and find ways to be able to harness it to create significant change in the system. Knowing, of course, how to prompt the data beforehand to make sure that we're getting things that make sense. That's the key.

We have epigenomics as well. We have so many others. Then we have the capacity with AI soon to be able to, excuse me, to crunch all this data and find ways to be able to harness it to create significant change in the system. Knowing, of course, how to prompt the data beforehand to make sure that we're getting things that make sense. That's the key.

It's not only just the data itself, but it's the prompting that is so important.

It's not only just the data itself, but it's the prompting that is so important.