Goal: democratize high-fidelity data safely; accelerate tools

6:07>> Yeah. And the goal is basically to democratize access to this highfidelity genomic data, accelerate cancer diagnosis, treatment, prevention tools, all of the stuff that we want without actually compromising patient confidentiality. The idea being if you can provide this sort of substrate of the data set variety of research teams and institutions can do a work towards solving the problem uh without running you know >> into all of the regulations regulation issues >> which are there for a good reason >> which are there for a good reason. Um so let's go through what precision oncology means. Okay. >> Why it's actually hard to actually

6:48simulate these genomes and then what this current paper is doing. Okay. What this current paper is announcing. So the vision of precision oncology is we want to shift from things like chemotherapy and radiation which is kind of just a general sort of shotgun approach to this tailored treatment based on a patient's tumor, the molecular and genomic alterations in that tumor. That tumor. >> Okay. And we want to make it precision. That's that's where precision comes from, right? And so what we want to do is identify mutations and then administer targeted drugs. >> There's a data bottleneck where we have this paradox between sharing and privacy, right? Because the

7:29success of precision oncology and an AI to precisely identify what type of oncology is going on depends on a vast diverse data set, right? But every single genomic identifier is something that is unique to every individual, right? You've got three billion base pairs. And if I know you're 3 billion base pairs, I can figure out who you are, >> right? So reidentification is really possible. Like even if you deidentify data, like you took you took some patients genomic data and you took out some parts, it would actually be pretty easy to look up who you are based on genome genealogical websites, public

8:10records, the whole like 23 andme thing, um ancestry.com, like that that whole thing, right? So there's privacy risks and that can reveal dispositions to disease, potential discrimination, and you've got stuff like HIPPA that actually controls and creates barriers for that kind of data sharing. It's a very good thing that we're doing that, right? Because then without it, you can you can have potential discrimination on life insurance, long-term care, >> right? I was going to say the the big the big issue is you don't want insurance providers to be able to basically say, "Oh, because we know that you have this is the whole Obamacare pre-existing conditions issue." Yeah. >> If we know who you are and what your