Abstract: Devices, systems, and techniques are disclosed for planning, updating, and delivering electric field therapy. In one example, a system comprises processing circuitry configured to receive a request to deliver alternating electric field (AEF) therapy and determine therapy parameter values that define the AEF therapy, wherein the AEF therapy comprises delivery of a first electric field and a second electric field. The processing circuitry may also be configured to control an implantable medical device to deliver the first electric field from a first electrode combination of implanted electrodes and control the implantable medical device to deliver, alternating with the first electric field, the second electric field from a second electrode combination of implanted electrodes different than the first electrode combination.

Abstract: A hybrid electric propulsion system includes a gas turbine engine having at least one compressor section and at least one turbine section operably coupled to a shaft. The hybrid electric propulsion system includes an electric motor configured to augment rotational power of the shaft of the gas turbine engine. A controller is operable to determine hybrid electric propulsion system parameters based on a composite system model and sensor data, determine a prediction based on the hybrid electric propulsion system parameters and the composite system model, determine a model predictive control optimization for a plurality of hybrid electric system control effectors based on the prediction using a plurality of reduced-order partitions of the composite system model, and actuate the hybrid electric system control effectors based on the model predictive control optimization.

Abstract: Systems and methods are described that generate a first virtual space corresponding to a first multi-dimensional image set, where the first multi-dimensional image set includes one or more images generated based on receiving first imaging signals. The systems and method store pose information of one or more markers in association with a second virtual space, where the second virtual space corresponds to a second multi-dimensional image set including one or more ultrasound images generated based on receiving second imaging signals. The systems and method generate an image-based surgical plan in association with the first virtual space based on the pose information of the one or more markers. In some cases, the systems and method translate the pose information of the one or more markers to the first virtual space, and generating the image-based surgical plan is based on the translation of the pose information to the first virtual space.

Abstract: Devices, systems, and techniques are disclosed for delivering electric field therapy to tissue of a subject. In one example, a technique includes removing a tumor from tissue to create a resection cavity, implanting a plurality of leads into the tissue adjacent to the resection cavity, and affixing the plurality of leads at least one of the tissue or bone. The example technique also includes tunneling proximal ends of the leads to an implantation pocket and coupling the proximal ends of the leads to an implantable medical device configured to be placed within the implantation pocket, wherein the implantable medical is configured to deliver electric field therapy via the plurality of implantable leads disposed adjacent to the resection cavity.

Abstract: A hybrid electric propulsion system includes a gas turbine engine having at least one compressor section and at least one turbine section operably coupled to a shaft. The hybrid electric propulsion system includes an electric motor configured to augment rotational power of the shaft of the gas turbine engine. A controller is operable to determine hybrid electric propulsion system parameters based on a composite system model and sensor data, determine a prediction based on the hybrid electric propulsion system parameters and the composite system model, determine a model predictive control optimization for a plurality of hybrid electric system control effectors based on the prediction using a plurality of reduced-order partitions of the composite system model, and actuate the hybrid electric system control effectors based on the model predictive control optimization.

Abstract: Various embodiments for system and method for cerebral implantation strategy for delivery of alternating electric field therapy are described. For example, a system may include processing circuitry configured for operative communication with a conformable grid comprising a plurality of modular grid elements having a plurality of electrodes configured for implantation in a cerebrum, and wherein the processing circuitry is configured to execute instructions stored in the memory to model brain tissue to define inter-contact and intra-contact distances along the conformable grid and each of the plurality of electrodes; determine the spacing between the plurality of modular grid elements of the conformable grid. A user interface may display a visual representation of the cerebrum including identification of a sub-region of the cerebrum and display a representation of the spacing between the plurality of modular grid elements of the conformable grid and a depth of each electrode of the plurality of electrodes.

Abstract: A hybrid electric propulsion system includes a gas turbine engine having at least one compressor section and at least one turbine section operably coupled to a shaft. The hybrid electric propulsion system includes an electric motor configured to augment rotational power of the shaft of the gas turbine engine. A controller is operable to determine an estimate of hybrid electric propulsion system parameters based on a composite system model and sensor data, determine a model predictive control state and a prediction based on the hybrid electric propulsion system parameters and the composite system model, determine a model predictive control optimization for a plurality of hybrid electric system control effectors based on the model predictive control state and the prediction using a plurality of reduced-order partitions of the composite system model, and actuate the hybrid electric system control effectors based on the model predictive control optimization.

Abstract: A hybrid electric propulsion system includes a gas turbine engine having at least one compressor section and at least one turbine section operably coupled to a shaft. The hybrid electric propulsion system includes an electric motor configured to augment rotational power of the shaft of the gas turbine engine. A controller is operable to determine an estimate of hybrid electric propulsion system parameters based on a composite system model and sensor data, determine a model predictive control state and a prediction based on the hybrid electric propulsion system parameters and the composite system model, determine a model predictive control optimization for a plurality of hybrid electric system control effectors based on the model predictive control state and the prediction using a plurality of reduced-order partitions of the composite system model, and actuate the hybrid electric system control effectors based on the model predictive control optimization.