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

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 f...

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Bibliographic Details
Main Authors RAO, GOVIND, PUNSHON-SMITH, BENJAMIN, KOSTOV, YORDAN, ADIGA, RAJANI
Format Patent
LanguageEnglish
Published 24.06.2021
Subjects
APPARATUS FOR ENZYMOLOGY OR MICROBIOLOGY
BEER
BIOCHEMISTRY
CHEMISTRY
ENZYMOLOGY
METALLURGY
MICROBIOLOGY
MUTATION OR GENETIC ENGINEERING
SPIRITS
VINEGAR
WINE
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Summary: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.
Bibliography:Application Number: US201917055149