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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	RAO, GOVIND, PUNSHON-SMITH, BENJAMIN, KOSTOV, YORDAN, ADIGA, RAJANI
Format:	Patent
Sprache:	eng ; fre
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
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	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. La présente invention concerne la fabrication de protéines exemptes de cellules et, plus particulièrement, l'intégration d'un apprentissage automatique dans un système portable de traitement biologique exempt de cellules pour produire des protéines ayant une pureté, une efficacité et une qualité augmentées et cohérentes, de telles protéines étant préparées sur demande et pour une administration sur le point d'intervention.