Abstract: Method for predicting glycemia of a patient including the steps of: Retrieving a data set (2) of dated glycemia measured up to the time t on the patient; Retrieving a quantity of insulin (5) injected in the patient; Retrieving a quantity of glucose (6) ingested by the patient; Generating, by a pharmacokinetic pre-processing device (20), an insulin blood concentration signal (21) and a carbs rate of appearance signal (22), from the glycemia data set (2), the quantities of injected insulin (5) and ingested glucose (6), Predicting by at least one Neural Network at least one glycemia (41) at prediction time t+?{circumflex over (t)} from the glycemia data (2) and from the signals generated (21) (22), the neural network being a Recurrent Neural Network able to keep in memory at each iteration information from any previous iteration.

Abstract: The invention relates to a vehicle door including a door shell with an outer panel (2) secured to an inner panel (3), with the inner panel having an opening therein, and with the door shell defining a hollow cavity. An interior trim module (4) is arranged to be fastened to the inner panel (3), by means of at least two fasteners (5, 9). Each fastener (5, 9) includes a first portion (5; 9) attached to the inner panel and a second portion (9; 5) attached to the interior trim module (4), or vice versa, with the first and second portions at least partially form-fitting male and female portions, respectively, extending from a flat base, so that the first and second portions are arranged for cooperation in a plane parallel to contacting surfaces of the inner panel and the interior trim module.