We underwrite biology risk to engineer Biological Alpha: knowing what biology will work in humans early enough to change the outcome of a drug program.
@viswacolluru@Jack_O_Meara@buergelt_ Our goal is to build a long-term community around radical acceleration in biotech.
Very few spots remain for BIO attendees. RSVP here: https://t.co/euMK7FYi53
At today's pace, humanity will wait 500+ years for every known disease to have a cure. What would the industry do differently if we acted as if we had 50?
We’re hosting a small private event at BIO San Diego.
On Tuesday, June 23 we're inviting 20 people on a boat for a private fireside with @viswacolluru (Founder & CEO, Envied), @Jack_O_Meara (Founder & CEO, Aerska), and @buergelt_ (Founder & CEO, Pheiron).
This is the first Alpha Hours, a private series hosted by Pheiron.
@buergelt_@googlecloud@GoogleDeepMind We look forward to exchanging ideas with others tackling ambitious technical problems and sharing what we learn along the way. Thanks to Noam Feinstein and Chaya Huisman for bringing together such an exceptional group of founders.
#GeminiStartupForum
@buergelt_@googlecloud@GoogleDeepMind At Pheiron, we are dedicated to Biological Alpha: the ability to know what biology will work in humans early enough to change the outcome of a drug program.
@buergelt_ We look forward to exchanging ideas with others tackling ambitious technical problems and sharing what we learn along the way.
#GeminiStartupForum
@buergelt_ At Pheiron, we are dedicated to Biological Alpha: the ability to know what biology will work in humans early enough to change the outcome of a drug program.
Understanding these types of effects more systematically remains an important area of work for us.
Several more programs from our earlier waves are expected to report data in the coming months.
We want scientists & decision-makers to be able to see why the system reached a given conclusion, what evidence it relied on, and where the remaining uncertainty actually sits.
-» https://t.co/ngXEqLLgSH
Wave 2 expands the range of evidence structures the platform is able to evaluate.
Wave 1 mainly covered common or prevalent diseases supported by rare-variant or Mendelian carrier populations.