Abstract: Systems and methods are disclosed for processing medical images. One method includes: receiving a patient-specific vessel model of one or more vessels of a patient and a patient-specific tissue model of a tissue supplied by the one or more vessels, wherein the patient-specific vessel model and the patient-specific tissue model are derived from the medical images of the patient; determining one or more patient-specific values of one or more anatomical or physiological parameters based on the patient-specific vessel model or the patient-specific tissue model; determining an estimated supplied blood to the tissue; computing an estimate of a perfusion of blood in the tissue based on the determined patient-specific values of the one or more anatomical or physiological parameters and the determined estimated supplied blood to the tissue; generating a visualization of the computed estimate of the perfusion of blood; and displaying the estimate of the perfusion on an electronic display.

Abstract: The present disclosure relates to novel compounds and pharmaceutical compositions thereof, and methods for inhibiting the activity of PI3K? enzymes with the compounds and compositions of the disclosure. The present disclosure further relates to, but is not limited to, methods for treating disorders associated with PI3K? signaling with the compounds and compositions of the disclosure.

Abstract: An auxiliary motivation system for a work machine may be provided where the work machine has a power source for powering a hydraulic system to hydraulically power a hydraulic motor of a drive system of the work machine. The auxiliary motivation system may include an auxiliary motivation device that includes an auxiliary power source and an auxiliary hydraulic system powered by the auxiliary power source. The auxiliary hydraulic system may be configured for fluid coupling to the hydraulic motor of the drive system of the work machine to drive the work machine in place of the hydraulic system on the work machine.

Abstract: Systems and methods are disclosed for evaluating a patient with vascular disease. One method includes receiving one or more vascular models associated with either the patient or with a plurality of individuals; receiving observed perfusion information associated with the patient; and estimating, using one or more computer processors, one or more blood flow characteristics or one or more pathological characteristics of the patient based on the observed perfusion information and the one or more vascular models.

Abstract: A noninvasive patient-specific method is provided to aid in the analysis, diagnosis, prediction or treatment of hemodynamics of the cardiovascular system of a patient. Coronary blood flow and pressure can be predicted using a 3-D patient image-based model that is implicitly coupled with a model of at least a portion of the remaining cardiovascular system. The 3-D patient image-based model includes at least a portion of the thoracic aorta and epicardial coronaries of the patient. The shape of one or more velocity profiles at the interface of the models is enforced to control complex flow features of recirculating or retrograde flow thereby minimizing model instabilities and resulting in patient-specific predictions of coronary flow rate and pressure. The invention allows for patient-specific predictions of the effect of different or varying physiological states and hemodynamic benefits of coronary medical interventions, percutaneous coronary interventions and surgical therapies.

Abstract: Systems and methods are disclosed for blood flow simulation. For example, a method may include performing a plurality of blood flow simulations using a first model of vascular blood flow, each of the plurality of blood flow simulations simulating blood flow in a vasculature of a patient or a geometry based on the vasculature of the patient; based on results of the plurality of blood flow simulations, generating a response surface mapping one or more first parameters of the first model to one or more second parameters of a reduced order model of vascular blood; determining values for the one or more parameters of the reduced order model mapped, by the response surface, from parameter values representing a modified state of the vasculature; and performing simulation using the reduced order model parameterized by the determined values, to determine a blood flow characteristic of the modified state of the vasculature.

Abstract: Various reconfigurable phononic devices, including phase shifters, mirrors, Mach Zehnder interferometers, memories, and transducers for use in both classical and quantum computing systems are disclosed. The individual phononic devices may be combined in various configurations to implement desired, more complex functionality. The phononic devices may be coupled together to implement the desired functionality using phononic waveguides. The phononic devices include one or more phase shifters that are operationally based on either hyperelasticity or a moving boundary effect.

Abstract: A computer-implemented method for processing electronic images to quantify coronary microvascular disease may include receiving imaging data of one or more captured electronic images. A first set of the imaging data may have been captured prior to an administration of one or more pharmacological agents, and a second set of the imaging data may have been captured subsequently. The method may further include providing the imaging data and a set of patient data to a machine-learning model. The machine-learning model may have been trained to identify coronary microvascular disease (CMD) features within the captured imaging data and the set of patient data and output one or more CMD measures and/or a predicted CMD endotype. The method may further include transmitting, to a user device, the one or more CMD measures and/or the predicted CMD endotype.

Abstract: Systems and methods are disclosed for using patient specific anatomical models and physiological parameters to estimate perfusion of a target tissue to guide diagnosis or treatment of cardiovascular disease. One method includes receiving a patient-specific vessel model and a patent-specific tissue model of a patient anatomy; extracting one or more patient-specific physiological parameters (e.g. blood flow, anatomical characteristics, image characteristics, etc.) from the vessel or tissue models for one or more physiological states of the patient; estimating a characteristic of the perfusion of the patient-specific tissue model (e.g., via a trained machine learning algorithm) using the patient-specific physiological parameters; and outputting the estimated perfusion characteristic to a display.

Abstract: Systems and methods are disclosed for assessing cardiovascular disease and treatment effectiveness based on adipose tissue. One method includes identifying a vascular bed of interest in a patient's vasculature; receiving a medical image of the patient's identified vascular bed of interest; identifying adipose tissue in the received medical image; receiving a geometric vascular model comprising a representation of the patient's identified vascular bed of interest; and computing an inflammation index associated with the geometric vascular model, using the identified adipose tissue.

Abstract: A fiber optic system includes a telecommunications chassis defining a front and a rear, a plurality of blades slidably mounted to the chassis, the blades slidable in a direction extending from the front to the rear, and a plurality of fiber optic cassettes removably mounted to each blade. Each fiber optic cassette includes a housing defining a maximum cassette height, the housing formed by a base and a cover mounted thereon. Each cassette defines fiber optic connection locations. The base of each cassette defines a notched area for receiving a portion of the blade on which the cassette is mounted such that the blade does not increase the overall maximum height defined by the housing.

Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage media for fleet management of unmanned aerial vehicles, including flight authorization. One of the methods includes maintaining one or more rules associated with authorizing UAVs to implement flight plans. A request to generate a flight plan associated with a job is received, the request including information indicating a flight pattern comprising, at least, one or more waypoints associated with geospatial references. The flight plan is generated based on the request, and an initial authorization check is determined based on the maintained rules and the generated flight plan. Upon a positive determination, access to the generated flight plan is provided by a ground control system, and the flight plan is implemented.

Abstract: Various reconfigurable phononic devices, including phase shifters, mirrors, Mach Zehnder interferometers, memories, and transducers for use in both classical and quantum computing systems are disclosed. The individual phononic devices may be combined in various configurations to implement desired, more complex functionality. The phononic devices may be coupled together to implement the desired functionality using phononic waveguides. The phononic devices include one or more phase shifters that are operationally based on either hyperelasticity or a moving boundary effect.

Abstract: A controller may receive sensor data from one or more sensor devices of the drilling machine. The sensor data indicates a vertical position of a drilling assembly of the drilling machine. The drilling assembly includes a drill string connected to a drill bit. The controller may determine, based on the sensor data, that the vertical position of the drilling assembly corresponds to a deck wrench engaging position. The controller may cause a deck wrench, of the drilling machine, to engage an engagement portion of the drill string based on determining that the vertical position of the drilling assembly corresponds to the deck wrench engaging position. The engagement portion of the drill string is adjacent to an end of the drill string connected to the drill bit.

Abstract: Systems and methods are disclosed for predicting coronary plaque vulnerability, using a computer system. One method includes acquiring anatomical image data of at least part of the patient's vascular system; performing, using a processor, one or more image characteristics analysis, geometrical analysis, computational fluid dynamics analysis, and structural mechanics analysis on the anatomical image data; predicting, using the processor, a coronary plaque vulnerability present in the patient's vascular system, wherein predicting the coronary plaque vulnerability includes calculating an adverse plaque characteristic based on results of the one or more of image characteristics analysis, geometrical analysis, computational fluid dynamics analysis, and structural mechanics analysis of the anatomical image data; and reporting, using the processor, the calculated adverse plaque characteristic.

Abstract: Systems and methods are disclosed for blood flow simulation. For example, a method may include performing a plurality of blood flow simulations using a first model of vascular blood flow, each of the plurality of blood flow simulations simulating blood flow in a vasculature of a patient or a geometry based on the vasculature of the patient; based on results of the plurality of blood flow simulations, generating a response surface mapping one or more first parameters of the first model to one or more second parameters of a reduced order model of vascular blood; determining values for the one or more parameters of the reduced order model mapped, by the response surface, from parameter values representing a modified state of the vasculature; and performing simulation using the reduced order model parameterized by the determined values, to determine a blood flow characteristic of the modified state of the vasculature.

Abstract: Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.

Abstract: Systems and methods are disclosed for assessing a risk of disease. One method includes obtaining an anatomic model associated with a target anatomy; modeling, using a processor, an injection of one or more virtual contrast agents into the anatomic model; performing a simulation of flow of blood and the one or more virtual contrast agents through the anatomic model; and computing one or more characteristics of concentration associated with the one or more virtual contrast agents at one or more locations in the anatomic model based on the simulation.

Abstract: An auxiliary motivation system for a work machine may be provided where the work machine has a power source for powering a hydraulic system to hydraulically power a hydraulic motor of a drive system of the work machine. The auxiliary motivation system may include an auxiliary motivation device that includes an auxiliary power source and an auxiliary hydraulic system powered by the auxiliary power source. The auxiliary hydraulic system may be configured for fluid coupling to the hydraulic motor of the drive system of the work machine to drive the work machine in place of the hydraulic system on the work machine.