Cellarity, Flagship's $50M bet on network biology, marries machine learning and single-cell tech for drug discovery
Cellarity started with a simple — but far from easy — idea that Avak Kahvejian and his team were floating around at Flagship Pioneering: to digitally encode a cell.
As he and his senior associate Nick Plugis dug deeper into the concept, they found that most of the models others have developed take a bottom-up approach, where they assemble the molecules inside cells and the connections between them from scratch. What if they opt for a top-down approach, aided by single-cell transcriptomics and machine learning, to gauge the behavior of the entire cellular network?
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