首页> 外国专利> METHODS TO INCORPORATE MACHINE LEARNING ANALYTICS FOR OPTIMIZING PROTEIN PURITY, POTENCY AND QUALITY IN AN ON-DEMAND PRODUCTION SYSTEM FOR POINT-OF-CARE DELIVERY

METHODS TO INCORPORATE MACHINE LEARNING ANALYTICS FOR OPTIMIZING PROTEIN PURITY, POTENCY AND QUALITY IN AN ON-DEMAND PRODUCTION SYSTEM FOR POINT-OF-CARE DELIVERY

机译:用机器学习分析合并用于优化蛋白质纯度,效力和质量的机器学习分析,以便在按需生产系统中进行护理点递送

摘要

The present invention relates to cell free protein manufacturing, and more particularly, for integrating machine learning into a portable cell-free bioprocessing system for producing proteins with increased and consistent purity, potency and quality wherein such proteins are prepared on-demand and for point-of-care delivery.
机译:本发明涉及细胞无细胞蛋白质制造,更具体地说,涉及将机器学习集成到可便携式电池生物处理系统中,用于生产具有增加和一致纯度,效力和质量的蛋白质,其中这种蛋白质按需制备和点保管送货。

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