Abstract: The present disclosure relates to systems and methods for medical imaging. The systems may obtain an initial image of an object. The initial image may include a first region of interest (ROI) and one or more second ROIs. The systems may determine, based on the initial image, a first position corresponding to the first ROI and one or more second positions each of which corresponds to one of the one or more second ROIs. The systems may obtain scan data of the object by causing an imaging device to scan the object based on the first position and the one or more second positions. The systems may determine an injection parameter of a drug that is injected into the object based on the scan data. The systems may generate a target image of the object based on the injection parameter and the scan data of the object.

Abstract: Aspects of the disclosure provide for the generation of a driving difficulty heat map for autonomous vehicles. For instance, log data generated by a vehicle being driven in a manual driving mode for a segment of a route may be input into a disengage model in order to generate an output identifying a likelihood of a vehicle driving in an autonomous driving mode requiring a disengage from the autonomous driving mode along the segment of the route. The log data may have been collected within a geographic area. A grid for the geographic area may be generated. The grid may include a plurality of cells. The output is assigned to one of the plurality of cells. The plurality of cells and assigned output may be used to generate a driving difficulty heat map for the geographic area.

Abstract: Aspects of the disclosure provide a method of providing a destination to an autonomous vehicle in order to enable the autonomous vehicle to collect data according to a targeted driving goal. For instance, a current location of an autonomous vehicle may be received. A set of destinations may be selected from a plurality of predetermined destinations. A route may be determined for each destination. A relevance score may be determined for each destination based on the determined routes and the targeted driving goal. Each destination may be assigned to one of a set of two or more buckets based on the relevance scores. A destination of the set may be selected based on a predetermined sampling probability. The selected destination is sent to the autonomous vehicle in order to cause the autonomous vehicle to travel to the selected destination in an autonomous driving mode.

Abstract: Method for the analysis of breast cancer disorders, comprising determining the genomic methylation status of one or more CpG dinucleotides in a sequence selected from the group of sequences according to SEQ ID NO. 1 to 10 and/or SEQ ID NO. 50 to SEQ ID NO. 60. Optionally, additionally following steps are performed, the one or more results from the methylation status test is input into a classifier that is obtained from a Diagnostic Multi Variate Model, calculating a likelihood as to whether the sample is from a normal tissue or an breast cancer tissue and/or, calculating an associated p-value for the confidence in the prediction.