Historic day for builders in bio: We’ve open-sourced @vevo_ai’s #Tahoe100M, largest single-cell atlas ever—by a wide margin—as the inaugural contribution to @arcinstitute’s Virtual Cell Atlas, ready for download today. A leap forward for AI models of cells & drug discovery. 🧵

Indeed: finding and optimizing drugs in rudimentary in vitro assays is like “finding the best sprinter and sending them to run a marathon” Thank you @Nature Biotechnology and @eisensteinium for featuring our work in this great piece. As Michael elegantly outlines, we at Vevo Therapeutics believe that the root of many failures in the clinic is how we model disease preclinically. We need better disease models that capture the fact that disease happens in a living organism and in extremely heterogeneous patients that can not be reduced to a single driver gene or protein target. Disease models that can capture this at scale will not only lead to better therapeutics but also unlock new business models that can change the economics of drug discovery. nature.com/articles/s41587-0…

San Francisco jobs.lever.co/vevo-ai/17cb49…