Abstract: Methods, systems, and computer-readable media for a system and method are provided for assessing the value of predictive models monitoring medical conditions. Trends in an individual's medical condition are determined based on monitoring values, and the trends are associated with the actions performed in response to the monitoring values and in accordance with the predictive models. The trends may indicate that an individual's condition is improving, worsening, or remaining stable in response to the action taken. Models used for multiple conditions for an individual or for a population of individuals may be assessed in this manner to generate knowledge regarding the performance of the models based on the actions taken. This knowledge may be used to assess the value of the models in terms of the models' performance and may provide insight on way to improve the models.

Abstract: Methods and systems for managing patient attributions are provided. Interaction events between clinicians and the patient are identified, and using times associated with each interaction, a time series of the interactions for each clinician may be constructed. Care responsibility curves measuring a clinician's care responsibility level over time may be generated using the time series, an initial care responsibility level assigned to each interaction and a rate of decay for each interaction, which may be based on the type of action and type of clinician who interacted with the patient. A care responsibility score for each clinician may be determined from the clinician's care responsibility curve, and a patient-attribution assignment record may be created to attribute the patient to one of the clinicians based on a ranking of the clinicians' care responsibility scores.

Abstract: This disclosure provides an endotracheal tube with a tip suitable for traversing the laryngeal inlet and with a guiding channel having a proximal opening adjacent a proximal end portion and a distal opening adjacent to a tip, wherein the guiding channel is adjacent a sidewall of the main lumen of the tube, which allows more accurate wire-guided intubation of a patient, a method and a kit relating to the same.

Abstract: Devices, methods, and non-transitory program storage devices are disclosed to enable the automatic establishment of a secure audio/video data streaming connection between electronic devices. For example, a first electronic device may enter into a first state of a peer device advertising protocol, and then, based on a determination that the first electronic device meets a first set of device state criteria (e.g., including at least an orientation state criterion), the first electronic device may enter into a second (e.g., enhanced) state of the peer device advertising protocol. In response to detecting a presence of a second electronic device in its proximity, the first electronic device may connect to the second electronic device via a secure peer-to-peer connection protocol and then send one or more images captured by a first image capture device of the first electronic device to the connected second electronic device via the secure wireless peer-to-peer connection protocol.

Abstract: Techniques for monitoring an audio stream for triggering events are disclosed, where the triggering events may include a particular sound identified in the audio stream. In addition, the techniques include detecting the particular sound in the audio stream and/or providing an event notification to a user device via a network connection. A user device can request permission to initiate a two-way audio stream between the computing device and the user device. Further, the techniques may include receiving an indication to initiate the two-way audio stream with the user device. In addition, the techniques may include providing an alert that permission has been granted to initiate the two-way audio stream. Also, the device may include initiating the two-way audio stream with the user device.

Abstract: Aspects of the subject technology include receiving, by a first device, a voucher data item, from a second device, providing, by the first device, an invitation to at least a third device to join a group communication session with at least the first device, and providing, by the first device, the voucher data item to at least the third device to verify that the first device is vouched for by the second device for participation in the group communication session initiated by the first device. The voucher data item may include participant information associated with the second device. The voucher data item may also be signed with a key associated with the second device.

Abstract: Aspects of the subject technology include transmitting, by a first device, an advertisement message corresponding to a communications session the first device is participating in with at least a second device. The first device may receive, during the communications session, a communications session control message generated by a third device. The communications session control message may include information contained in the advertisement message. The first device may validate the third device based on the communications session control message and remove the first device from the communications session in response to successfully validating the third device.

Abstract: Approaches to utilizing contextual right-of-way decision making for autonomous vehicles are disclosed. An autonomous vehicle is operated in a road setting within an operating environment having other road users. The operation of the autonomous vehicle is based on safety constraints providing limits on operation of the autonomous vehicle. The presence of a selected other road user within the operating environment is detected. Potential trajectories for the autonomous vehicle within the operating environment are evaluated with respect to the other road user. The autonomous vehicle interacts with the other road user by generating vehicle control signals based on a machine learned model and within the one or more safety constraints. The machine learned model is based on a hierarchy of costs corresponding to characteristics of maneuvers by the autonomous vehicle.

Abstract: Embodiments provide for dynamic generation and updating of quote data objects using machine learning. An example apparatus is configured to receive a quote request and parse the quote request to extract one or more quote parameters. The example apparatus is further configured to determine, based at least in part the one or more quote parameters and by querying a plurality of repositories that are each updated periodically or in real-time, available inventory associated with the product identifier, and to determine a set of alternative quote values for the product identifier. The example apparatus is further configured to generate, using a first trained machine learning model and based at least in part on the available inventory and the set of alternative quote values, a first quote feature for the quote request and a confidence score, and to cause transmission of a quote data object to a user device.

Abstract: A decision support tool is provided for predicting uterine contractions. The predicted contractions are determined from measurements of uterine activity (UA). The contraction forecast may be made using a plurality of trained predictive models. The forecasts are formed with linear regressive models based, at least in part, on UA data from a reference population. The predicted contractions may be predictions of contraction duration, contraction peak, and time between contractions. In this way, these predicted contractions may be used for decision support for care plans during labor, such as increased monitoring and/or modifying the care plan.

Abstract: The invention relates to cells for adoptive cell therapy, e.g., adoptive immunotherapy. The cells include macrophages in which the iPLA2? gene is disrupted. Also provided are methods and uses of the cells, such as in adoptive therapy in the treatment or prevention of type 1 diabetes (T1D). Also provided are methods for engineering, preparing, and producing the cells, and compositions containing the cells. In some aspects, the provided embodiments provide an improved composition and method for the treatment of T1D. Among the cells disclosed herein are those in which certain genes and/or gene products have been disrupted, modified and/or repressed, in particular via disruption that impairs or reduces expression of iPLA2?.

Abstract: A decision support tool is provided for predicting the neonatal vitality scores of a fetus during delivery, the scores being an indicator of future health for the infant anticipated to be born within a future time interval, measured as time to birth. The predicted neonatal vitality score is determined from measurements of physiological variables monitored during labor, such as uterine activity and fetal heart rate. Fetal heart rate variability and patterns may be detected and computed using the monitored physiological variables, and neonatal vitality scores may be predicted based, at least in part, on the variability metrics and fetal heart rate patterns. Scores may be predicted for different delivery methods, such as vaginal delivery or cesarean delivery, for different time-to-birth intervals. In this way, these scores may be used for decision support for care plans during labor, such as increased monitoring and/or modifying the delivery type.

Abstract: Disclosed herein are systems and method including a method for managing an autonomous vehicle. The method include providing as first input to a machine learning model a raster image and a vector associated with a context of a scene comprising an autonomous vehicle and a plurality of agents, providing as second input to the machine learning model a planned travel path for the autonomous vehicle, based the first input and the second input, outputting from the machine learning model a plurality of yield/assert predictions, wherein the plurality of yield/assert predictions comprises a respective yield/assert prediction related to whether to yield or to assert in relation to each respective agent of the plurality of agents and causing the autonomous vehicle to travel along the planned travel path while yielding or asserting against the plurality of agents according to the plurality of yield/assert predictions.

Abstract: Disclosed herein are systems and method including a method for managing an autonomous vehicle. The method includes obtaining labels associated with various aspects of right-of-way interactions between an autonomous vehicle and an agent, wherein the right-of-way interactions occur when a human driver takes over for the autonomous vehicle and performs the right-of-way interactions, running an autonomous vehicle stack that is untrained for processing right-of-way interactions between the autonomous vehicle and the agent, injecting the labels into the autonomous vehicle stack and determining, based on the injecting of the labels into the autonomous vehicle stack, a performance of the autonomous vehicle stack.

Abstract: The current disclosure describes techniques for managing planarization of features formed on a semiconductor wafer. The disclosed techniques achieve relative planarization of micro bump structures formed on a wafer surface by adjusting the pattern density of the micro bumps formed within various regions on the wafer surface. The surface area size of a micro bump formed within a given wafer surface region may be enlarged or reduced to change the pattern density. A dummy micro bump may be inserted into a given wafer surface region to increase the pattern density.

Abstract: In an example method, a system receives a plurality of frames of a video, and generates a data structure representing the video and representing a plurality of temporal layers. Generating the data structure includes: (i) determining a plurality of quality levels for presenting the video, where each of the quality levels corresponds to a different respective sampling period for sampling the frames of the video, (ii) assigning, based on the sampling periods, each of the frames to a respective one of the temporal layers of the data structure, and (iii) indicating, in the data structure, one or more relationships between (a) at least one the frames assigned to at least one of the temporal layers of the data structure, and (b) at least another one of the frames assigned to at least another one of the temporal layers of the data structure. Further, the system outputs the data structure.

Abstract: In an example method, a system receives a plurality of frames of a video, and generates a data structure representing the video and representing a plurality of temporal layers. Generating the data structure includes: (i) determining a plurality of quality levels for presenting the video, where each of the quality levels corresponds to a different respective sampling period for sampling the frames of the video, (ii) assigning, based on the sampling periods, each of the frames to a respective one of the temporal layers of the data structure, and (iii) indicating, in the data structure, one or more relationships between (a) at least one the frames assigned to at least one of the temporal layers of the data structure, and (b) at least another one of the frames assigned to at least another one of the temporal layers of the data structure. Further, the system outputs the data structure.

Abstract: Disclosed herein is technology for deriving a planned path for a vehicle that is operating in a geographic area. In an example embodiment, a computing system associated with the vehicle may function to (i) identify a set of path priors to use as a basis for deriving the planned path for the vehicle in the geographic area, (ii) sample path priors in the identified set of path priors and thereby producing a set of points that is representative of the identified set of path priors, (iii) fit a curve to the set of points produced by the sampling, and (iv) derive the planned path for the vehicle based on the fitted curve.

Abstract: Improved risk categorization is provided for clinical decision support and forecasting future health care spend. A risk index is provided that improves on other risk stratification models by synthesizing electronic medical records and health questionnaires with an individual patient's claim histories. Machine learning algorithms catalogue patients into distinct group clusters, based on risk which may be associated with annual health care spending, thereby enabling administrators to forecast future health care spending on the individual and population level.

Abstract: A decision support tool is provided for predicting a patient's length of stay within a healthcare unit, such as the emergency department. The predicted length of stay may be determined using patient information and facility information, which includes information about the department and the facility in which the department is located. The patient information and the facility information may be used to determine feature values input into a plurality of machine learning models. The models may be used sequentially such that initial models are used to predict variables relating to the patient's length of stay and output of such models is used with a length-of-stay model to determine the predicted length of stay. One or more response actions may be automatically initiated based on the predicted length of stay. Such response actions may include resource management actions to allocate resources within the healthcare unit.