OMM Redaksiyası
Biohub is joining “Google”, “Meta” and the US government in a $1.8 billion effort to generate biological data for artificial intelligence models, the research organization announced Wednesday.
The US Department of Energy and the National Institutes of Health will take part in Biohub’s Virtual Biology Initiative, alongside “Google DeepMind” and AI drug discovery company “Isomorphic Labs”. The initiative aims to generate and standardize large amounts of biological data needed to build models that can predict how cells behave.
“Google DeepMind”, “Isomorphic Labs” and “Meta” will collectively invest $300 million. The Department of Energy will contribute more than $500 million over five years for biological measurement, modeling and computing.
The NIH will provide datasets and other resources developed through more than $500 million in previous federal investment. Biohub will work to standardize the information for AI training.
Biohub, a nonprofit research organization co-founded by Mark Zuckerberg and his wife, physician Priscilla Chan, launched the five-year initiative in April with a $500 million commitment.
The project ultimately aims to develop AI models that can predict how cells respond to interventions such as drugs or genetic changes, potentially allowing scientists to test ideas digitally before conducting physical experiments.
“An accurate predictive model of biology could dramatically accelerate scientific discovery by enabling scientists to perform experiments digitally,” Biohub’s head of science, Alex Rives, said.
Biohub said the resulting datasets will eventually be made available to the wider scientific community. Commercial partners will have exclusive access for one year to data they help fund before it becomes public, while government-funded data will have no such restriction, Rives said.
