A $1.8 billion alliance bets on a ‘virtual cell’ to speed up cures
The Chan Zuckerberg Biohub, the US Department of Energy, the NIH, Google DeepMind, Isomorphic Labs and Meta have joined forces in a $1.8 billion push to generate the open biological data needed to train AI models that predict how cells respond to disease and treatment. The goal is a ‘virtual cell’ — software that lets scientists run experiments digitally instead of spending months at the lab bench. If it works, the path from biological question to new cure could get dramatically shorter.
The upbeat factorrivals pooling data so the next cure arrives years sooner.
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