Computer-assisted Biology: Decoding Noisy Data to Predict Cell Growth (IMAGE)
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Researchers at The University of Tokyo Institute of Industrial Science use artificial intelligence to predict the size of cells over time without the need for simplifying assumptions, which may lead to a new understanding of microbiology principles and improved drug manufacturing from recombinant bacteria
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Institute of Industrial Science, the University of Tokyo
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