Abstract: There is provided a method for training a ground truth generator machine learning model, comprising: creating a ground truth multi-record training dataset wherein a record comprises: a first image of a sample of tissue of a subject depicting a first group of biological objects, a second image of the sample depicting a second group of biological objects presenting at least one biomarker, and ground truth labels indicating a respective biological object category of a plurality of biological object categories for biological object members of the first group and the second group; and training the ground truth generator machine learning model on the ground truth multi-record training dataset for automatically generating ground truth labels selected from the plurality of biological object categories for biological objects depicted in an input set of images of a first type corresponding to the first image and a second type corresponding to the second image.

Abstract: An active mechanical safety device for the compensation of the impacts on a vehicle, comprising a connecting element configured to be constrained to a suspended mass of a vehicle, a respective adjustment element configured to be constrained to the suspended mass and to be positioned between the connecting element and a respective shock absorber element of said vehicle, wherein the adjustment element, following an external stress to which the vehicle is subjected, is movable between a first position, wherein the adjustment element is configured to approach the connecting element to the shock absorber element, and a second position, wherein the adjustment element is configured to move the connecting element away from the shock absorber element.