Abstract: The present invention refers to an in vitro method for the prognosis of patients suffering from HER2+ breast cancer and/or for the prediction of response to anti-HER2 therapies in patients suffering from HER2+ breast cancer.

Abstract: In an example, a method includes receiving a first data model of an object to be generated in additive manufacturing, at a processor. Using the processor, a second data model may be determined. Determining the second data model may include generating for each of plurality of contiguous, non-overlapping sub-volumes of a volume containing the object, a sub-volume octree characterising the sub-volume and having a root node. Determining the second data model may further include generating a volume octree characterising the volume containing the object, the volume octree characterising in its lowest nodes the root nodes of the sub-volume octrees.

Abstract: In an example, a method includes receiving, at a processor, data representing at least part of an object to be manufactured in a layer-by-layer manufacturing process. A serialised octree representation of at least part of the object may be generated from the data. In the serialised octree representation, nodes are ordered such that (i) a node representing a volume which includes a layer of the object to be generated earlier in an intended order of object generation precedes a node representing a volume which consists of layer(s) of the object to be generated subsequently; (ii) nodes representing a volume which includes a given layer of the object are ordered based on a level of the nodes within the octree representation, wherein parent nodes appear before descendent nodes; and (iii) nodes representing a volume which includes a given layer of the object and being of the same level within the octree representation are ordered according to a location encoding pattern.

Abstract: In an example, a method includes receiving, at a processor, data representing a three dimensional object. Using the processor, a modified data representation of the three dimensional object may be determined wherein, in the modified data representation, the three dimensional object is represented in terms of homogenous sub-volumes. Each homogenous sub-volume is homogenous with respect to a predetermined attribute and contains locations which are within a common object boundary distance band of plurality of object boundary distance bands, wherein at least two object boundary distance bands partially overlap.

Abstract: In an example, a method includes receiving a first data model of an object to be generated in additive manufacturing, at a processor. Using the processor, a second data model may be determined. Determining the second data model may include generating for each of plurality of contiguous, non-overlapping sub-volumes of a volume containing the object, a sub-volume octree characterising the sub-volume and having a root node. Determining the second data model may further include generating a volume octree characterising the volume containing the object, the volume octree characterising in its lowest nodes the root nodes of the sub-volume octrees.

Abstract: In an example, a method includes receiving, at a processor, data representing at least part of an object to be manufactured in a layer-by-layer manufacturing process. A serialised octree representation of at least part of the object may be generated from the data. In the serialised octree representation, nodes are ordered such that (i) a node representing a volume which includes a layer of the object to be generated earlier in an intended order of object generation precedes a node representing a volume which consists of layer(s) of the object to be generated subsequently; (ii) nodes representing a volume which includes a given layer of the object are ordered based on a level of the nodes within the octree representation, wherein parent nodes appear before descendent nodes; and (iii) nodes representing a volume which includes a given layer of the object and being of the same level within the octree representation are ordered according to a location encoding pattern.

Abstract: In an example, a method includes receiving, at a processor, data representing a three dimensional object. Using the processor, a modified data representation of the three dimensional object may be determined wherein, in the modified data representation, the three dimensional object is represented in terms of homogenous sub-volumes. Each homogenous sub-volume is homogenous with respect to a predetermined attribute and contains locations which are within a common object boundary distance band of plurality of object boundary distance bands, wherein at least two object boundary distance bands partially overlap.