摘要:
In a method of recalibrating continuous glucose monitoring data from a user, operable on a digital processor, an indication from the user that the user has taken a meal is received (806). A self-monitored of blood glucose levels from the user (810) at two separate times during a day corresponding to when the user has taken a meal. A glucose signal is received from a continuous glucose monitoring sensor (818) at times corresponding to the two separate times that the user has taken a meal. Two reconstructed blood glucose values based on the glucose signal from the continuous monitoring sensor at times when the at least two self-monitored of blood glucose levels are received from the user. A linear regression is performed (822) using y = ax + b, wherein x corresponds to the two reconstructed blood glucose values and y corresponds to the two self-monitored of blood glucose levels thereby generating an estimation of a and b. A recalibration signal, including the estimation of a and b, is transmitted to the continuous glucose monitoring sensor (824) based on the linear regression.
摘要:
Method (400) for controlling the delivery of insulin in a diabetic patient (P) comprising steps of: providing data (d) representative of at least a fraction of a meal ( m(k + i) ) that the patient (P) will consume; providing, from a block (R) representative of conventional therapy or open loop rule that the patient (P) is subject to, based on the data (d) representative of at least a fraction of the foreseen meal (m(k + i) ) that the patient (P) will consume, a reference insulin value (u0); providing data representative of the difference between input data ( y), representative of a reference glycemic level, and feedback data (yCGM) representative of the glycemic level detected in the patient (P); providing, by a control module (301; 401), based on the data representative of the difference between the input data ( y ), representative of the reference glycemic level, and the feedback data (yCGM), representative of the glycemic level detected in the patient (P) and the data (d) representative of at least a fraction of the foreseen meal ( m(k + i) ) that the patient (P) will consume, data (uMPC) representative of a first insulin variation value; providing, based on the data (uMPC), representative of the first insulin variation value, and data (ub), representative of a basal insulin value, a value of insulin (i) to be delivered to the patient (P).
摘要:
Method (400) for controlling the delivery of insulin in a diabetic patient (P) comprising steps of: providing data (d) representative of at least a fraction of a meal ( m(k + i) ) that the patient (P) will consume; providing, from a block (R) representative of conventional therapy or open loop rule that the patient (P) is subject to, based on the data (d) representative of at least a fraction of the foreseen meal (m(k + i) ) that the patient (P) will consume, a reference insulin value (u 0 ); providing data representative of the difference between input data ( ŷ ), representative of a reference glycemic level, and feedback data (y CGM ) representative of the glycemic level detected in the patient (P); providing, by a control module (301; 401), based on the data representative of the difference between the input data ( y ), representative of the reference glycemic level, and the feedback data (y CGM ), representative of the glycemic level detected in the patient (P) and the data (d) representative of at least a fraction of the foreseen meal ( m(k + i) ) that the patient (P) will consume, data (u MPC ) representative of a first insulin variation value; providing, based on the data (u MPC ), representative of the first insulin variation value, and data (u b ), representative of a basal insulin value, a value of insulin (i) to be delivered to the patient (P).
摘要:
A method, system and computer program product for correcting a nominal treatment strategy of a subject with diabetes. The method, system and computer program product may be configured for providing input whereby the input may include: open-loop therapy settings for the subject, data about glycemic state of the subject; and (optionally) data about meals and/or exercise of the subject. The method, system and computer program product may be configured for providing output, whereby the output may include an adjustment (correction) to the open-loop therapy settings for the subject for insulin delivery to the subject.
摘要:
The present invention relates to a method for estimating or predicting the anti-tumor activity of a compound and for estimating or predicting the tumor growth in mammals; the estimation of the anti-tumor activity of a compound administered to mammals developing a tumor comprises a) measuring the tumor weight in time; b) measuring the concentration of the compound in time; c) calculating, on the basis of said measures, the following kinetic parameters of the tumor growth: a parameter (L 0 ), representative of the portion of the tumor cells present at the instant t 0 =0 that succeeds in taking root and in starting the tumor cells proliferation in the mammals; an index (λ O ) of the production rate of the tumor cells during an exponential phase of the tumor growth; -an index (λ 1 ) of the tumor cells mass produced in the time unit during a linear phase of the tumor growth; and the following pharmacodynamic parameters of the compound: an index (K 1 ) of the tumor cells death rate; an index (K 2 ) of the potency of the compound; and d) calculating, on the basis of said kinetic and pharmacodynamic parameters, tumor growth curves. The invention, applicable in the pharmaceutical field, allows to make the best use of all the information generated during the preclinical studies and results to be sufficiently simple also allowing to get good estimates or predictions regardless of the uncertainties on the mode of action. The invention further allows to employ a small number of parameters, therefore avoiding time consumption as well as a number of mechanistic observations.
摘要:
In a method of recalibrating continuous glucose monitoring data from a user, operable on a digital processor, an indication from the user that the user has taken a meal is received (806). A self-monitored of blood glucose levels from the user (810) at two separate times during a day corresponding to when the user has taken a meal. A glucose signal is received from a continuous glucose monitoring sensor (818) at times corresponding to the two separate times that the user has taken a meal. Two reconstructed blood glucose values based on the glucose signal from the continuous monitoring sensor at times when the at least two self-monitored of blood glucose levels are received from the user. A linear regression is performed (822) using y = ax + b, wherein x corresponds to the two reconstructed blood glucose values and y corresponds to the two self-monitored of blood glucose levels thereby generating an estimation of a and b. A recalibration signal, including the estimation of a and b, is transmitted to the continuous glucose monitoring sensor (824) based on the linear regression.
摘要:
A system and method for providing optimal insulin injections to a subject, using a controller, a continuous glucose monitor, and an insulin delivery unit is disclosed. The controller possesses a discrete-time, linear model predictive control law, means for sending information to the insulin delivery unit, and means for receiving information from the CGM. The control law implemented is derived from a discrete-time model of glucose insulin dynamics and an aggressiveness parameter. The result is that using only glucose measurements obtained from sensor readings and, prior values of external insulin infusion and meal and exercise announcement the optimal insulin injection necessary to safely regulate blood glucose can be calculated.
摘要:
The present invention relates to a method for estimating or predicting the anti-tumor activity of a compound and for estimating or predicting the tumor growth in mammals; the estimation of the anti-tumor activity of a compound administered to mammals developing a tumor comprises a) measuring the tumor weight in time; b) measuring the concentration of the compound in time; c) calculating, on the basis of said measures, the following kinetic parameters of the tumor growth: a parameter (L 0 ), representative of the portion of the tumor cells present at the instant t 0 =0 that succeeds in taking root and in starting the tumor cells proliferation in the mammals; an index (λ O ) of the production rate of the tumor cells during an exponential phase of the tumor growth; -an index (λ 1 ) of the tumor cells mass produced in the time unit during a linear phase of the tumor growth; and the following pharmacodynamic parameters of the compound: an index (K 1 ) of the tumor cells death rate; an index (K 2 ) of the potency of the compound; and d) calculating, on the basis of said kinetic and pharmacodynamic parameters, tumor growth curves. The invention, applicable in the pharmaceutical field, allows to make the best use of all the information generated during the preclinical studies and results to be sufficiently simple also allowing to get good estimates or predictions regardless of the uncertainties on the mode of action. The invention further allows to employ a small number of parameters, therefore avoiding time consumption as well as a number of mechanistic observations.
摘要:
A method of estimating the average exposure within a population of subjects to a pharmacological substance, administered according to a given protocol, by estimating the area under the concentration curve (AUC), characterised in that the area under the population concentration curve is estimated by the steps of obtaining measurements of the drug concentrations in each of the subjects at any time during the study, independently from the time when measurements of the drug concentration level in the other subjects are being taken; building a hierarchical stochastic model composed of the population and of the individual levels; determining the posterior probability distribution of the average AUC from the sample data and hence the average population AUC. The exposure of an individual and its precision within the sample of individuals can be determined by determining the posterior probability distribution of the individual AUC from the sample data. The posterior probability model may be obtained by using a Markov Chain Monte Carlo algorithm, such as Gibbs Sampling.