‘Virtual cells’ aim to turn raw data into predictive models of biology
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Researchers are working on developing virtual cell models that can turn raw data into predictive models of biology. These models, which utilize artificial intelligence, are being explored for their potential in preclinical research and clinical translation, as well as in understanding specific cell types and behaviors. The application of these models may also extend to areas such as chronic disease management and image analysis.
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