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A mathematical model for glucose and oxygen consumption, and cell growth during fungal growth on a single solid particle is developed.
A simplified model for glucose release and uptake was created, to be used as a tool for control of the glucose concentration in a SSCF process.
Both models provide valuable and complementary informations: using combined severity parameters, very good predictions were obtained concerning xylan and lignin extraction whereas central composite design is the best model for glucose production.
Now consider the model for glucose transport in yeast.
However, a major breakthrough in diabetes modeling occurred with the development of the physiological model for glucose disappearance following IVGTT.
This study describes the development of a physiologically based PK/PD model for glucose, insulin, and glucagon.
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Based on these findings, a consensus model for glucose-stimulated insulin secretion from mouse or rat islets was proposed [6].
A quadratic polynomial equation was modelled for glucose recovery by multiple regression analysis using response surface methodology (RS M.
Models for glucose, HbA1c, and insulin were controlled for use of insulin and other diabetes medications.
Chemometric techniques were used to reduce the background before generating calibration models for glucose and ethanol concentration.
We developed an integrated physiologically based whole-body model of the glucose-insulin-glucagon regulatory system consisting of three PBPK models for glucose, insulin, and glucagon.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com