Multi-omic analysis of aging in mice, combined with machine learning, can identify patterns that predict intervention effects and individual longevity outcomes.

“i think the answer to your question is it depends on whether you're talking about doing this pre-clinically or clinically right i actually think this is don't you think it has to be done both uh well eventually yes it's it's it's a problem that can be solved today pre-clinically like there is no real barrier to doing what you just said so multi-omic analysis of aging in mice with interventions applying machine learning to identify patterns that predict the effect of interventions and individual outcomes for longevity you obviously have to think a little bit about you know what what can you measure um if you want to do this longitudinally right you can't kill them the animals right uh um so you could you're sort of restricted to blood but so there are some practical aspects but there's no there's no technical barrier to doing that now”

“then you you get that test and then you show whether it works or not in an independent study and if it does i'd be pretty convinced right if you can show me that you create this test and then you go do a separate experiment and you can predict when the mice are six months old how long they're gonna live at an individual level i'm impressed and if you can show that this intervention when you treat them makes the signature go in the way that you think it should go and you can predict they're going to live 30 longer i'm even more impressed i'll believe it at that point”

“multi-omic analysis of aging in mice with interventions applying machine learning to identify patterns that predict the effect of interventions and individual outcomes for longevity”