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

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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Hauptverfasser: RAO, Govind, KOSTOV, Yordan, ADIGA, Rajani, PUNSHON-SMITH, Benjamin
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
APPARATUS FOR ENZYMOLOGY OR MICROBIOLOGY
BEER
BIOCHEMISTRY
CALCULATING
CHEMISTRY
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ENZYMOLOGY
FERMENTATION OR ENZYME-USING PROCESSES TO SYNTHESISE A DESIREDCHEMICAL COMPOUND OR COMPOSITION OR TO SEPARATE OPTICAL ISOMERSFROM A RACEMIC MIXTURE
METALLURGY
MICROBIOLOGY
MUTATION OR GENETIC ENGINEERING
PHYSICS
SPIRITS
VINEGAR
WINE
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creator RAO, Govind
KOSTOV, Yordan
ADIGA, Rajani
PUNSHON-SMITH, Benjamin
description 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.
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subjects APPARATUS FOR ENZYMOLOGY OR MICROBIOLOGY
BEER
BIOCHEMISTRY
CALCULATING
CHEMISTRY
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ENZYMOLOGY
FERMENTATION OR ENZYME-USING PROCESSES TO SYNTHESISE A DESIREDCHEMICAL COMPOUND OR COMPOSITION OR TO SEPARATE OPTICAL ISOMERSFROM A RACEMIC MIXTURE
METALLURGY
MICROBIOLOGY
MUTATION OR GENETIC ENGINEERING
PHYSICS
SPIRITS
VINEGAR
WINE
title METHODS TO INCORPORATE MACHINE LEARNING ANALYTICS FOR OPTIMIZING PROTEIN PURITY, POTENCY AND QUALITY IN AN ON-DEMAND PRODUCTION SYSTEM FOR POINT-OF-CARE DELIVERY
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