Mark Zuckerberg and Priscilla Chan founded the Chan Zuckerberg Initiative (CZI).
Meta CEO Mark Zuckerberg and his wife Priscilla Chan recently announced their plans to eradicate human diseases by 2100. In a statement, the Chan Zuckerberg Initiative (CZI), Zuckerberg and Chan’s foundation, announced that they aim to develop a computer system that will allow researchers to use artificial intelligence (AI) to catalog cells and predict how they will behave when they are being ill. The data could be used to make groundbreaking new discoveries that could help cure, prevent or control all diseases by the end of this century, the foundation said.
“AI is creating new opportunities in biomedicine, and building a high-performance computing cluster dedicated to life science research will accelerate progress on important scientific questions about how our cells work,” said Mark Zuckerberg, co-founder and co-CEO of CZI.
“Developing digital models that can predict all cell types and cell states from the genome will help researchers better understand our cells and how they behave in health and disease,” he added.
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According to the press release, CZI’s goal is to give researchers access to generative AI to study healthy and diseased cells. Using predictive models of human cells can help researchers better understand how the body responds to diseases or new drugs, the company said, adding that it is like running a “virtual cell” through different simulations to see what would happen. can happen.
“AI models can predict how an immune cell responds to an infection, what happens at the cellular level when a child is born with a rare disease, or even how a patient’s body will respond to a new drug,” says Priscilla Chan.
“We hope that this joint effort will yield new insights into the fundamental characteristics of our cells,” she added.
The foundation explained that the new system will be trained on datasets from the CZ Cell x Gene software tool, as well as on resources from the Chan Zuckerberg Biohub Network and Chan Zuckerberg Institute for Advanced Biological Imaging, and on publicly available data. Once completed, the computer system is expected to be one of the largest AI clusters used for nonprofit research.