US 12,216,736 B2
Reducing probability of glass breakage in drug delivery devices
Sean Fitzgibbon, Camarillo, CA (US); Christopher R. Folk, San Diego, CA (US); and Julian Jazayeri, Woodland Hills, CA (US)
Assigned to AMGEN INC., Thousand Oaks, CA (US)
Filed by AMGEN INC., Thousand Oaks, CA (US)
Filed on Nov. 8, 2021, as Appl. No. 17/520,961.
Application 17/520,961 is a continuation of application No. 16/070,224, granted, now 11,200,298, previously published as PCT/US2017/022249, filed on Mar. 14, 2017.
Claims priority of provisional application 62/308,578, filed on Mar. 15, 2016.
Prior Publication US 2022/0207111 A1, Jun. 30, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 17/18 (2006.01); A61M 5/20 (2006.01); A61M 5/315 (2006.01); A61M 5/32 (2006.01); G06F 17/13 (2006.01); G06F 30/17 (2020.01); G06F 30/20 (2020.01); G06F 111/08 (2020.01); G06F 111/10 (2020.01); G06F 113/08 (2020.01); G16H 20/17 (2018.01)
CPC G06F 17/18 (2013.01) [A61M 5/2033 (2013.01); A61M 5/315 (2013.01); G06F 30/17 (2020.01); G06F 30/20 (2020.01); G16H 20/17 (2018.01); A61M 2005/206 (2013.01); A61M 5/3202 (2013.01); A61M 2205/3327 (2013.01); A61M 2205/3331 (2013.01); A61M 2205/3375 (2013.01); A61M 2205/50 (2013.01); A61M 2205/70 (2013.01); A61M 2207/00 (2013.01); G06F 17/13 (2013.01); G06F 2111/08 (2020.01); G06F 2111/10 (2020.01); G06F 2113/08 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A non-transitory computer-readable medium storing thereon instructions that, when executed on one or more processors, implement a method for determining predicted failure rates of drug injection devices, the method comprising:
receiving a set of parameters that specify physical properties of (i) a syringe, (ii) a liquid drug, and (iii) a drug injection device configured to deliver the liquid drug to a patient via the syringe, wherein the drug injection device includes a mechanism configured to drive a plunger rod toward a plunger of the syringe encased in a syringe carrier;
receiving failure rate data that specifies a measured rate of failure of the drug injection device in response to various peak pressures within the syringe;
applying the received set of parameters to a kinematic model of the drug injection device to determine a predicted peak pressure within the syringe, including determining the predicted peak pressure as a function of impact velocity of the liquid drug, and including using the kinematic model to model interactions between at least the mechanism, the plunger rod, the plunger, and the syringe carrier, wherein using the kinematic model includes (A) modeling the mechanism as a linear spring with an equilibrium length, and/or (B) modeling (i) a pre-impact stage at which the plunger rod has not come in contact with the plunger, and (ii) a first impact stage at which the plunger rod comes in contact with the plunger;
determining a probability of failure of the drug injection device using (i) the received failure rate data and (ii) the predicted peak pressure; and
providing an indication of the determined probability of failure to an output device.