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Computer-assisted biology: Decoding noisy data to predict cell growth

New theory predicts movement of different animals using sensing to search

Researchers used artificial intelligence to obtain a more objective understanding of cell growth and division without preconceived assumptions. Using a deep-learning neural network, they were able to more accurately model the complex processes that affect cell size over time. This work may lead to advances in microbiology and industrial production of microorganisms.

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