Woah - I just drove by the JCV institute in La Jolla yesterday and felt thinking that the organization was really monumental to synthetic biology. Rest in peace
The company I work at has been building a dementia prevention program covered by most insurance plans in the US.
Our clinicians work directly on helping understand risk of neurodegenerative disease and help tailor personalized plans to improve outcomes.
A recent lancet study concluded that around 45% of dementia cases are preventable [0]
Happy to answer any questions people have.
Different person, unrelated to the above advertisement but:
Sometimes any diet.
Mental health struggles can exacerbate, (and be exacerbated by!) forgetting to eat, not wanting to eat,
forgetting or passing up the things that keep you in homeostasis, choosing the less correct things because of an emotional response, a physiological response in a “diminished” state.
I asked because I already know the correct answer, which is "metabolic psychiatry", meaning versions of keto/carnivore/epilepsy-keto diets (the latter is the strongest).
This is really interesting, congrats on the launch.
The use case I’m trying to solve for is building a coding agent platform that reliably sets up our development stack well. Few questions!
In my case, I’m trying to build a one-shot coding agent platform that nicely spins up a docker-in-docker Supabase environment, runs a NextJS app, and durably listens to CI and iterates.
1) Can I use this with my ChatGPT pro or Claude max subscription?
2)
We don't support docker-in-docker yet, but that's something on our short term roadmap. We have the need for this ourselves! For now, you could call a different service to spin up your sandbox with the image of your codebase. Not ideal, but this is what we do now.
Yes, you can use your own subscriptions as long as you follow their guidelines
Dagger (dagger.io) has its own container execution stack, and supports dagger-in-dagger natively, with logical scoping, and without depth limit. Would love to show you both a demo, if you're interested!
(Disclaimer, I'm the CEO of Dagger)
I founded Docker, and lack of proper nesting support was always a pet pieve of mine. I couldn't fix it in Docker, so I fixed it in Dagger instead :)
This demo started out as really cool - but the very first generated was terrible (in that it actually would have been very negative for our brand)
Happy to discuss what exactly was problematic with you guys - so please take my comment constructively.
This is really interesting! Pretty remarkable that the key insight isn't just about crossing the BBB—it's about repairing the transport machinery itself.
We're building BetterBrain around this insight—catching vascular and metabolic risk factors that compromise BBB integrity years before severe pathology. Not replacing breakthrough therapies like this, but complementing them by intervening earlier in the cascade.
(www.betterbrain.com/insurance if anyone would like to try - its $0 with most insurance plans)
Congrats on the fundraise! I've been a fan of Counsel and admire Muthu's bullishness around asynchronous care delivery.
Overall, I felt the human-clinician side of the product worked quite well - the providers responded quite quickly, were well informed, and resulted in a quick turnaround to getting an Rx or some manner of outcome.
On the AI side, I would caution that your team really needs to work quite hard to maintain a defensible moat here.
> Other chatbots can’t connect to your medical records to provide personalized advice. They’re also not trained on the latest evidence-based research and can’t bring a physician into the conversation. With Counsel, you get medical-grade AI support backed by physician oversight, ensuring safe, high-quality care
"can’t connect to your medical records to provide personalized advice" - while I think Counsel's HIE integrations seem to work well (the AI responded with relevant data it had on me from the exchange), that's is reasonably easy to build (which does sound like the famous Dropbox comment).
"They’re also not trained on the latest evidence-based research" - on this note, I'd be curious if Counsel is capable of doing meaningful post-training to meet this endpoint (I'd assume it's not worth the resources to explore any manner of post-training).
It strikes me as a good example of Sam Altman's steamrolling comment - I'd imagine the next waive of frontier models will represent a much greater level of health inference than post-training a current frontier model will accomplish.
tl;dr - I found myself immediately skipping over the AI functionality but did find the human physicians on Counsel's app to work great.
Granted, I'm curious to see the company's direction long-term — perhaps along the lines of a16z's healthcare superstaffing thesis (which sounds compelling) or aiming to have most encounters be between a user and AI (which I'm more bearish about, though it's definitely going to happen one day, of course).
I think the key is remind yourself is that an engineer is supposed to solve business problems. So use these new tools to be more effective in doing so.
An analogy is that people used to spend tons of time building out web server code but something like Django added tremendously useful abstractions and patterns to doing so, which allowed people to more productively add business value
This is very much part of the motivation behind BetterBrain, the wait for an in-network neurologist is often 6+ months, but the wait for one of the few in-person dementia prevention clinics can be years (and cost thousands out of pocket).
If your insurance plan covers BetterBrain, definitely recommend giving our insurance covered option a try to meet with a clinician as soon as next week.
We do have a free option, with the ability to purchase bloodwork and additional testing.
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