lada
@ladanuzhna
creating therapies to solve aging @ stealth; funding aging research @impetusgrants; unschooling @thielfellowship
There are more drugs generating a billion dollars per year than there are software products doing the same. And yet there are 0 trillion-dollar pharmas, and 5 trillion-dollar tech companies. It grates on me, but 5% better / newer science won't change this (it hasn't so far).…
My (maybe wrong) intuition is - feedback loops on sequencing have been slower than expected. Maybe sequencing produced more data than we could handle. Maybe feedback loops in biology are generally slow (although you’d expect new technologies to speed them up?). If we compare…
Maybe a bit of a naive question, but what’s the measurable impact of sequencing on the state of medicine? Not research or potential impact, but what has changed in how - or what types of - medicines have been approved since the first commercial ht sequencer around 2005?
Maybe a bit of a naive question, but what’s the measurable impact of sequencing on the state of medicine? Not research or potential impact, but what has changed in how - or what types of - medicines have been approved since the first commercial ht sequencer around 2005?
Biotechs would say stuff like "we can't raise money" but founder still has 2 kidneys. Curious.
There is surprisingly little data on how well drug repurposing actually works. Given the recent influx of AI-powered repurposing companies, I'd think someone would have a more-or-less consistent number for the success rate, but the estimates range from 30 % to 75 % for the same…
This resonates, but lets be real - pharma is a biotech with multiple shots on goal, and yet this is how they have been doing
** biotech's broken business model and what to do about it ** We are now in year 4 of a biotech bear market The key driver of negative sentiment? Biotech public markets sentiment refuses to recover Since Dec 2022 to today, Nasdaq is up from 10,400 -> 19,400, or 85%+ XBI…
A weird observation about doing biology - you almost never interpret any paper quantitatively, even if it has a lot of numbers in many different contexts. Basically, the only reliable signal you can get is binary. And if you want numbers - go and repeat it yourself. (Numbers…
The thing about AI for clinical applications - you can’t change the ways of a system any faster than 1 cycle of that system. So even if AGI was here yesterday, biotech IRRs would take at least a decade to feel it. Probably much longer in practice.