A method, comprising: at least partially manufacturing a plurality of analyte sensors (101, 400, 500, 600, 700, 800, 900, 1000, 1101), the plurality comprising a first subset and a second subset, wherein each of the analyte sensors in the plurality is adapted to sense a level of an analyte in vivo, and wherein the analyte sensors in the first subset are different from the analyte sensors in the second subset; measuring (2014, 2752) a first individualized manufacturing parameter of each analyte sensor in the plurality; measuring (2014, 2752) a second individualized manufacturing parameter of each analyte sensor in the plurality; determining (2016, 2753), with processing circuitry, an in vitro sensitivity to the analyte of the first subset from data obtained by in vitro testing the first subset; and determining (2019, 2755), with processing circuitry, individualized calibration information for each analyte sensor in the second subset, comprising performing (a)-(c) independently for each analyte sensor in the second subset, (a) determining (2702, 2756) an in vitro sensitivity of a respective analyte sensor in the second subset by modelling a correlation between a representation of the first individualized manufacturing parameter for the respective analyte sensor, a representation of the second individualized manufacturing parameter for the respective analyte sensor, and a representation of the in vitro sensitivity of the first subset utilizing a multiple variable regression model; (b) determining an in vivo sensitivity of the respective analyte sensor using a representation of the in vitro sensitivity of the respective analyte sensor; and (c) determining individualized calibration information for the respective analyte sensor that corresponds to the in vivo sensitivity of the respective analyte sensor. at least partially manufacturing a plurality of analyte sensors (101, 400, 500, 600, 700, 800, 900, 1000, 1101), the plurality comprising a first subset and a second subset, wherein each of the analyte sensors in the plurality is adapted to sense a level of an analyte in vivo, and wherein the analyte sensors in the first subset are different from the analyte sensors in the second subset; measuring (2014, 2752) a first individualized manufacturing parameter of each analyte sensor in the plurality; measuring (2014, 2752) a second individualized manufacturing parameter of each analyte sensor in the plurality; determining (2016, 2753), with processing circuitry, an in vitro sensitivity to the analyte of the first subset from data obtained by in vitro testing the first subset; and determining (2019, 2755), with processing circuitry, individualized calibration information for each analyte sensor in the second subset, comprising performing (a)-(c) independently for each analyte sensor in the second subset, (a) determining (2702, 2756) an in vitro sensitivity of a respective analyte sensor in the second subset by modelling a correlation between a representation of the first individualized manufacturing parameter for the respective analyte sensor, a representation of the second individualized manufacturing parameter for the respective analyte sensor, and a representation of the in vitro sensitivity of the first subset utilizing a multiple variable regression model; (b) determining an in vivo sensitivity of the respective analyte sensor using a representation of the in vitro sensitivity of the respective analyte sensor; and (c) determining individualized calibration information for the respective analyte sensor that corresponds to the in vivo sensitivity of the respective analyte sensor. (a) determining (2702, 2756) an in vitro sensitivity of a respective analyte sensor in the second subset by modelling a correlation between a representation of the first individualized manufacturing parameter for the respective analyte sensor, a representation of the second individualized manufacturing parameter for the respective analyte sensor, and a representation of the in vitro sensitivity of the first subset utilizing a multiple variable regression model; (b) determining an in vivo sensitivity of the respective analyte sensor using a representation of the in vitro sensitivity of the respective analyte sensor; and (c) determining individualized calibration information for the respective analyte sensor that corresponds to the in vivo sensitivity of the respective analyte sensor.