Abstract: Systems and methods are disclosed herein for processing ultrasound images to identify objects for diagnostic and/or interventional use. For instance, an ultrasound image of an anatomical structure may be received from a computing device of an ultrasound imaging system. The ultrasound image may be input to a machine learning model that is trained to identify a plurality of objects in ultrasound images of the anatomical structure. The plurality of objects may include anatomical features, disruptive features, and/or instruments. A prediction of one or more objects from the plurality of objects identified in the ultrasound image may be received as output of the machine learning model. An indication of the prediction may be provided to the computing device for display on a display of the ultrasound imaging system.

Abstract: Systems and methods are disclosed herein for processing ultrasound images to identify objects for diagnostic and/or interventional use. For instance, an ultrasound image of an anatomical structure may be received from a computing device of an ultrasound imaging system. The ultrasound image may be input to a machine learning model that is trained to identify a plurality of objects in ultrasound images of the anatomical structure. The plurality of objects may include anatomical features, disruptive features, and/or instruments. A prediction of one or more objects from the plurality of objects identified in the ultrasound image may be received as output of the machine learning model. An indication of the prediction may be provided to the computing device for display on a display of the ultrasound imaging system.

Abstract: Systems and methods are disclosed herein for processing ultrasound images to identify objects for diagnostic and/or interventional use. For instance, an ultrasound image of an anatomical structure may be received from a computing device of an ultrasound imaging system. The ultrasound image may be input to a machine learning model that is trained to identify a plurality of objects in ultrasound images of the anatomical structure. The plurality of objects may include anatomical features, disruptive features, and/or instruments. A prediction of one or more objects from the plurality of objects identified in the ultrasound image may be received as output of the machine learning model. An indication of the prediction may be provided to the computing device for display on a display of the ultrasound imaging system.

Abstract: The present invention provides compositions of blood dendritic cell antigen 2 (BDCA2) targeting molecules coupled to heterologous antigens, and their use in treating and/or limiting disease.

Abstract: The present invention features a child's toy rodeo simulation device comprising means for removably engaging the torso of a user (or animal) intending to provide simulated rodeo play to a child mounted on the back of the user; and grasping means securely attached to the means for engaging, wherein the grasping means is attached at a substantially central dorsal position along the back of the user, and wherein the grasping means gives the child something to grasp and hold onto for support and stability during the simulated rodeo activities. In one exemplary embodiment, means for removably engaging comprises an adjustable torso strap that engages the torso of the user and grasping means comprises a handle having passive, non-restraining characteristics. The present invention further features a method for allowing a user to participate in more comfortable and natural simulated rodeo play with a child.

Abstract: The present invention features a disposable, recyclable Dutch oven liner designed to simplify cooking with and cleaning a Dutch oven. Specifically, the Dutch oven liner of the present invention advantageously provides for a desirable cooking environment, allows easy removal of food, and provides simplified clean-up. The Dutch oven liner virtually eliminates the undesirable problems traditionally associated with cooking with and cleaning a Dutch oven. The liner is sized and dimensioned to fit various Dutch ovens and is placed within the Dutch oven prior to the addition of food. The liner is preferably comprised of a leak proof aluminum material possessing sufficient strength factors that enable it to be durable enough to withstand rigorous food preparation, handling, and cooking conditions. Once the food item is done cooking the liner can be pulled from the oven and thrown away or recycled.