
“Curing All Disease by next century is too conservative" - Mark Zuckerberg
No Priors: AI, Machine Learning, Tech, & Startups
Biohub integrates frontier artificial intelligence with advanced biological research to accelerate the pace of scientific discovery, with the ultimate goal of curing, preventing, and managing all diseases. By developing open-source tools and world models of cells, the initiative aims to move biology from a discovery-based science to an engineering-based discipline. Key efforts include the Human Cell Atlas and the recent release of ESMFold2, an open-source system for predicting protein structures at atomic resolution. This approach emphasizes hierarchical modeling, starting with protein building blocks and scaling up to complex cellular systems. By providing these computational tools to the global scientific community, the initiative seeks to decentralize research, enabling individual scientists to tackle rare diseases and complex biological mechanisms that were previously inaccessible, thereby fostering a more collaborative and efficient landscape for therapeutic development.
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