Loïc Olcomendy

In silico development of a bioelectronic islet-based artificial pancreas

𝑦(𝑥) = { 1 𝑖𝑓 𝑥 ≥ 𝛽 0 𝑖𝑓 𝑥 ≤ 𝛼 𝑘 𝑖𝑓 𝛼 < 𝑥 < 𝛽 𝑘 = 0 𝑥 𝛼 < 𝑥 < 𝛽 𝑥 ≤ 𝛼 𝑘 = 1 𝑥 𝛼 < 𝑥 < 𝛽 𝑥 ≥ 𝛽 μ α β BGI(𝐺) = 10 × (1.509 × (ln(𝐺) 1.084 -5.381)) 2      ≤ ≤  ≤ ≤ - - 1 𝐹 𝑐 = 2 𝑛 (1 - 1 2 𝑛 ) 2𝜋𝑇
   parasitic component is implemented.
This assumption is relevant considering that measurement noise does not significantly affect performance due to low SP frequency (0-2 Hz).

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Simulation results were analysed for the 11 T1D adults equipped with the Bios-AP and submitted to a 24-hour 3-meals/2snacks scenario. All metrics are mean (SD).

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Performance metrics computed on the last 24 hours of a 48-hour, 3-meal/2-snack scenario in adolescents for two regulation schemes: Static model 2020 (Stat.) and Hysteretic model 2020 (Hyst.). Nine metrics are computed: the Time Below Range (TBR level 1: 70 mg/dl, level 2: 54mg/dl), the Time In Range (TIR), the Time Above Range (TAR level 1: 180 mg/dl, level 2: 250 mg/dl), the Low Blood Glucose Index (LBGI) and its counterpart the High Blood Glucose Index (HBGI), the Mean Blood Glucose level (Mean BG), and the Total Daily Insulin (TDI) administered to the patient.

Performance metrics computed on the last 24 hours of a 48-hour, 3-meal/2-snack scenario in adults for two regulation schemes: Static model 2020 (Stat.) and Hysteretic model 2020 (Hyst.). Nine metrics are computed: the Time Below Range (TBR level 1: 70 mg/dl, level 2: 54mg/dl), the Time In Range (TIR), the Time Above Range (TAR level 1: 180 mg/dl, level 2: 250 mg/dl), the Low Blood Glucose Index (LBGI) and its counterpart the High Blood Glucose Index (HBGI), the Mean Blood Glucose level (Mean BG), and the Total Daily Insulin (TDI) administered to the patient.

Performance metrics computed on the last 24 hours of a 48-hour, 3-meal/2-snack scenario in children for two regulation schemes: Static model 2020 (Stat.) and Hysteretic model 2020 (Hyst.). Nine metrics are computed: the Time Below Range (TBR level 1: 70 mg/dl, level 2: 54mg/dl), the Time In Range (TIR), the Time Above Range (TAR level 1: 180 mg/dl, level 2: 250 mg/dl), the Low Blood Glucose Index (LBGI) and its counterpart the High Blood Glucose Index (HBGI), the Mean Blood Glucose level (Mean BG), and the Total Daily Insulin (TDI) administered to the patient.

Performance metrics computed on the last 24 hours of a 48-hour, 3-meal/2-snack scenario in adolescents for two regulation schemes: the CGM-AP (CGM) and the Bios-AP (Bios.). Nine metrics are computed: the Time Below Range (TBR level 1: 70 mg/dl, level 2: 54mg/dl), the Time In Range (TIR), the Time Above Range (TAR level 1: 180 mg/dl, level 2: 250 mg/dl), the Low Blood Glucose Index (LBGI) and its counterpart the High Blood Glucose Index (HBGI), the Mean Blood Glucose level (Mean BG), and the Total Daily Insulin (TDI) administered to the patient. CGM-AP data are averaged over 25 repetitions of the scenario.

Performance metrics computed on the last 24 hours of a 48-hour, 3-meal/2-snack scenario in adults for two regulation schemes: the CGM-AP (CGM) and the Bios-AP (Bios.). Nine metrics are computed: the Time Below Range (TBR level 1: 70 mg/dl, level 2: 54mg/dl), the Time In Range (TIR), the Time Above Range (TAR level 1: 180 mg/dl, level 2: 250 mg/dl), the Low Blood Glucose Index (LBGI) and its counterpart the High Blood Glucose Index (HBGI), the Mean Blood Glucose level (Mean BG), and the Total Daily Insulin (TDI) administered to the patient. CGM-AP data are averaged over 25 repetitions of the scenario.

Performance metrics computed on the last 24 hours of a 48-hour, 3-meal/2-snack scenario in children for two regulation schemes: the CGM-AP (CGM) and the Bios-AP (Bios.). Nine metrics are computed: the Time Below Range (TBR level 1: 70 mg/dl, level 2: 54mg/dl), the Time In Range (TIR), the Time Above Range (TAR level 1: 180 mg/dl, level 2: 250 mg/dl), the Low Blood Glucose Index (LBGI) and its counterpart the High Blood Glucose Index (HBGI), the Mean Blood Glucose level (Mean BG), and the Total Daily Insulin (TDI) administered to the patient. CGM-AP data are averaged over 25 repetitions of the scenario.

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  𝐺 0 ] 𝑛 [𝐺 50 -𝐺 0 ] 𝑛 + [𝐺 -𝐺 0 ] 𝑛 𝑖𝑓 𝐺 ≥ 𝐺 0