Elizabeth Wood 🧬🖥️🥼
@lizbwood
Founder and CEO at @JURA_bio. Copenhagen | NYC | Boston | Basel https://bsky.app/profile/lizbwood.bsky.social
The biggest challenge for AI in biology isn't just models, it's the data used to train them. Standard biological data isn't built for AI. To unlock generative AI for drug discovery, we must rethink how we generate and capture data. 1/
.@jura_bio has announced VISTA, an AI-controlled data loop system to guide the design of clinically relevant antibodies from scratch with applications in cancer therapy. @lizbwood genengnews.com/topics/artific…
I like this VISTA platform, very cool: “Developed 1,497 diverse, human antibody-based scFv-CARs against 7 key intracellular oncology targets.”
The biggest challenge for AI in biology isn't just models, it's the data used to train them. Standard biological data isn't built for AI. To unlock generative AI for drug discovery, we must rethink how we generate and capture data. 1/
When AI drives your data generation, learning is more efficient and effective. Take a deep dive into VISTA:
The biggest challenge for AI in biology isn't just models, it's the data used to train them. Standard biological data isn't built for AI. To unlock generative AI for drug discovery, we must rethink how we generate and capture data. 1/
Discover probabilistic design for petascale DNA synthesis today with Eli Weinstein (@EliWeinstein6), postdoctoral research scientist at the @Columbia Data Science Institute, at a Statistics and DSI joint colloquium! datascience.uchicago.edu/events/eli-wei…
Great list and a fan of so many companies on this list. @jura_bio has designed and built more AI-designed proteins, including therapeutic antibodies, than all these companies combined.
More additions to the TechBio database! - @NOETIK_ai : multimodal data on 1000s of patients - Conceivable Labs: automated IFV prep - @ReactWise : AI for reaction optimisation - @LilaSciences : AI agents for scientific research