Abstract: Various approaches for computationally generating a protocol for treatment of one or more target BBB regions within a tissue region of interest using a source of focused ultrasound include specifying (i) settings of sonication parameters for applying one or more sequence of sonications to the target BBB region using the source of focused ultrasound and (ii) a characteristic of microbubbles selected to be administered into the target BBB region; electronically simulating treatment in accordance with the protocol at least in part by computationally executing the sequence(s) of sonications and computationally administering the microbubbles having the characteristic; and computationally predicting a tissue disruption effect of the target BBB region resulting from the treatment.

Abstract: Various approaches for disrupting target tissue for treatment include identifying a target volume of the target tissue; causing disruption of the target tissue in a region corresponding to the target volume so as to increase tissue permeability therein; computationally generating a tissue permeability map of the target volume; and based on the tissue permeability map, computationally evaluating the disruption of the target tissue within the target volume.

Abstract: Systems and methods for treating target tissue include generating a priming sequence of sonication pulses for delivering acoustic energy to the target tissue; pausing generation of the sonication pulses for a delay interval; and generating a series of treatment sequences of sonication pulses for delivering acoustic energy to the target tissue, the treatment sequences having sonication intervals therebetween and the delay interval being larger than the largest sonication interval by a predetermined factor.

Abstract: Systems and methods provide accelerated MR thermometry utilizing prior knowledge about the images to be reconstructed from incomplete k-space data, thereby facilitating accurate reconstruction. In various embodiments, missing data is computationally estimated using a machine learning algorithm such as a neural network, and an image is generated based on iteratively updated estimated missing information.

Abstract: Systems and methods for applying ultrasound sonication to temporarily disrupt a patient's blood-brain barrier (BBB) include storing threshold values of an acoustic response level, an acoustic response dose and a tissue response dose associated with a target BBB region and its surrounding regions based on anatomical characteristics thereof; causing the ultrasound transducer to transmit one or more pulses/waves; measuring the acoustic response level, the acoustic response dose, and/or the tissue response dose associated with the target BBB region and/or its surrounding regions; comparing the measurement with a corresponding stored threshold value; and operating the transducer based at least in part on the comparison.

Abstract: Various approaches for focusing an ultrasound transducer having multiple transducer elements include causing the transducer elements to transmit ultrasound waves to a target region and measure reflections of the ultrasound waves off the target region; for each of at least some of the transducer elements, adjusting a parameter value associated with said each transducer element based at least in part on parameter values associated with multiple measuring transducer elements weighted by signal quality metrics associated with the reflections measured by the measuring transducer elements so as to improve an ultrasound focus at the target region.

Abstract: Various approaches for focusing an ultrasound transducer include introducing at least one transient acoustic reflector located in proximity to at least one target region; generating multiple sonications to the at least one target region; measuring a reflection signal of each of the sonications off the at least one transient acoustic reflector; selecting the measured reflection signals, and based at least in part on the selected reflection signals, adjusting a parameter value associated with at least one of the transducer elements so as to improve an ultrasound focus at the target region.

Abstract: Various approaches for computationally generating a protocol for treatment of one or more target BBB regions within a tissue region of interest using a source of focused ultrasound include specifying (i) settings of sonication parameters for applying one or more sequence of sonications to the target BBB region using the source of focused ultrasound and (ii) a characteristic of microbubbles selected to be administered into the target BBB region; electronically simulating treatment in accordance with the protocol at least in part by computationally executing the sequence(s) of sonications and computationally administering the microbubbles having the characteristic; and computationally predicting a tissue disruption effect of the target BBB region resulting from the treatment.

Abstract: A system and method for detecting behavioral anomalies among a fleet including a plurality of connected vehicles. The method includes generating at least one fleet behavioral profile for the fleet using a first set of data, wherein creating each fleet behavioral profile includes training a machine learning model using at least a portion of the first set of data, wherein the at least a portion of the first set of data relates to communications with and among the plurality of connected vehicles; applying the at least one fleet behavioral profile to detect at least one anomaly in a second set of data for the fleet wherein the second set of data includes data related to communications with and among the plurality of connected vehicles; and performing at least one mitigation action when the at least one anomaly is detected.

Abstract: Various approaches to focusing an ultrasound transducer includes causing the ultrasound transducer to transmit ultrasound waves to the target region; causing the detection system to indirectly measure the focusing properties; and based at least in part on the indirectly measured focusing properties, adjusting a parameter value associated with at least one of the transducer elements so as to achieve a target treatment power at the target region.

Abstract: Various approaches for regulating microbubbles in a treatment procedure for a target include generating a tissue-sensitivity map including multiple regions, at least one of the regions being outside the target region, the tissue-sensitivity map assigning, to each of the regions, a sensitivity level indicative of tissue sensitivity to the interaction between the microbubbles and an acoustic beam; select one or more interaction regions based at least in part on the tissue-sensitivity map; and activating the ultrasound transducer so as to generate the acoustic beam for interacting with the microbubbles in the selection interaction region(s) in the tissue-sensitivity map, thereby indirectly changing a characteristic of the microbubbles at the target region.

Abstract: Systems and methods for temporarily altering a tissue characteristic at a target region, such as the blood-brain barrier, include causing an ultrasound transducer to transmit acoustic energy to the target region at a transmission frequency; acquiring a cumulative harmonic response from at least the target region; and operating the transducer based at least in part on the acquired cumulative harmonic response.

Abstract: A system and method for classifying driving behavior. The method includes training, via a supervised machine learning process, a classifier using a labeled training data set including at least one set of training features and corresponding training labels, wherein the classifier is trained to classify driving behavior, wherein the training features include training vehicle telemetries, wherein the training labels include at least one of driver labels and vehicle labels; and applying the classifier to an application data set including a plurality of application features to output a classification of driving behavior based on the application features, wherein the application features are extracted from application data including application vehicle telemetries for a vehicle.

Abstract: Various approaches to delivering ultrasound energy to a target region include an ultrasound transducer having multiple transducer elements for generating a focal zone of acoustic energy at the target region, wherein one or more transducer elements are partitioned into multiple contiguous sub-regions having a common directionality; one or more driver circuits connected to the transducer element(s); a switch matrix having multiple switches for switchably connecting the sub-regions to the driver circuit(s), each of the sub-regions being associated with one of the switches; and a controller configured to (i) determine an optimal sonication frequency for maximizing a peak acoustic intensity in the focal zone; and (ii) based at least in part on the determined optimal sonication frequency, activate one or more switches in the switch matrix for causing the corresponding sub-region(s) to transmit ultrasound pulses to the target region.

Abstract: A system and method for contextually monitoring vehicle states. The method includes enriching a plurality of messages based on at least one missing property value and a plurality of predictive properties in the plurality of messages, wherein at least one message of the plurality of messages is generated by a vehicle monitoring system, wherein each message of the plurality of messages is ingested at a vehicle state monitor, wherein each of the predictive properties is a property indicated in one of the plurality of messages of a predetermined type of property; and generating a contextual vehicle state for a vehicle based on the enriched plurality of messages, wherein the contextual vehicle state is a snapshot of a plurality of vehicle state properties at a given time.

Abstract: Transducer elements have one or more asymmetric features that give rise to multiple natural resonance frequencies. The feature(s) can be discrete (e.g., steps, bars, or gemstone-like facets) or continuous across one or more dimensions of the transducer element (e.g., a triangular prism). A transducer element can be driven at more than one resonance frequency; multiple frequencies will excite more than one feature in parallel, each producing an output emission with a characteristic frequency and phase. An optimal frequency—i.e., one that maximizes the peak acoustic intensity or acoustic power at the target—within a certain frequency range may be determined, and a plurality of asymmetric transducer elements may be driven at a center frequency that coincides with or is close to this optimal frequency.

Abstract: Various approaches for delivering ultrasound energy to a target region during a therapeutic or diagnostic procedure includes implementing an adjustment mechanism having a machine-learning model that has been trained, based on input vectors corresponding to a difference and/or a ratio of parameter values between multiple transducer elements, to generate, for each of the transducer elements, one or more parameter value to compensate for expected beam aberration resulting for an intervening tissue; and activating the transducer elements in accordance with the corresponding parameter values so as to generate an optimized focal zone at the target region during the therapeutic or diagnostic procedure.

Abstract: Approaches for focusing an ultrasound transducer having multiple transducer elements include generating the first sonication to one or more target regions and measuring the first set of reflection signals resulting from the first sonication; based on the first set of reflection signals, determining whether a target number or a target occurrence rate of focusing events has been reached; if not, generating the second sonication at an adjusted acoustic power to the target region(s) and measuring the second set of reflection signals resulting from the second sonication; and based at least in part on the second set of reflection signals, adjusting a parameter value associated with one or more transducer elements so as to improve an ultrasound focus at the target region(s).

Abstract: Various approaches for computationally characterizing tissue in an anatomic target region include generating multiple sonications to transient acoustic reflectors at or proximate to the target region; measuring reflection signals of the sonications off the transient acoustic reflectors; based on the measurements, identifying the reflection signals originating from single transient acoustic reflectors; and based at least in part on the identified reflection signals, generating a digital map including a tissue characteristic.

Abstract: Systems and methods for detecting and mitigating cyber-attacks directed to connected vehicles. A method includes classifying a behavior of a connected vehicle into at least one classification with respect to a location of data transmission relative to the connected vehicle, wherein the at least one classification includes any of local and remote; determining a plurality of vehicle-related cyber-attack indicators related to the behavior of the connected vehicle; performing risk analysis based on a first combination of vehicle-related cyber-attack indicators and the classification, wherein performing the risk analysis further comprises matching the first combination to a plurality of second combinations of cyber-attack indicators of a plurality of known attack patterns, wherein each of the plurality of known attack patterns has at least one classification matching the at least one classification of the connected vehicle; and performing at least one mitigation action based on the risk analysis.