Abstract: A system may include a first RF receiver configured to have a first directionality for receiving a first RF signal in a first spatial window that contains a target and a second RF receiver configured to have a second directionality for receiving a second RF signal in a second spatial window that also contains the target. A programmable processor can perform operations including determining an overlapping spatial window of the first spatial window and the second spatial window and determining a location of the target within the overlapping spatial window based on a correlation that utilizes the first RF signal with a reduced time window based on the overlapping spatial window.

Abstract: A patient health management platform implements a machine-learned metabolic model to generate a prediction of a patient's glucose level. The platform implements a short-term prediction model to generate a daily prediction of the patient's glucose level based on nutrition data reported by the patient and sensor data and lab test data collected for the patient. The platform implements a long-term prediction model generate a prediction of the patient's glucose level during an extended time period based on sensor data and lab test data collected for the patient. Using the short-term prediction model, the long-term prediction model, or both, the patient health management platform generates predictions of the patient's glucose level and updates a digital twin of the patient's metabolic profile.

Abstract: An ultrasonic surgical instrument includes an end effector with an ultrasonic blade, a shaft assembly, and a body assembly. The shaft assembly has an articulation section, an acoustic waveguide with a flexible waveguide portion, an articulation band configured to drive articulation of the articulation section between a straight configuration and an articulated configuration, and a pin distal to the articulation section and configured to constrain a distal waveguide portion to the end effector. The body assembly has a housing, a transducer assembly, and a compensator operatively connected to the articulation band and the acoustic waveguide. The compensator is configured to longitudinally urge the acoustic waveguide to thereby pivot the ultrasonic blade about the pin for alignment relative to another portion of the end effector.

Abstract: Macroencapsulation implantation systems and containers for storing and transporting a macroencapsulation device disposed within an end effector as well as related methods are described. In some embodiments, a macroencapsulation implantation system may include a handle that is configured to be selectively engaged with an elongated shaft including an end effector in which a macroencapsulation device may be disposed. In some embodiments, a container may be configured to maintain an end effector, and a macroencapsulation device disposed therein, in a desired pose within an internal volume of the container using an appropriately configured support. In some embodiments, the container may include an appropriately sized and shaped seal between a lid and container such that the container is biased towards an open configuration.

Abstract: An end effector for a surgical tool includes opposing first and second jaws, and a knife slot defined in one or both of the first and second jaws, and a knife extendable through the knife slot and operatively couplable to a distal end of a knife rod, the knife providing a body having a leading end, a trailing end opposite the leading end, and opposing first and second side surfaces extending between the leading and trailing ends, a central slot defined in the body and extending from the trailing end, the central slot being sized to receive the distal end of the knife rod, and a retention plateau defined on the first side surface and laterally protruding from the first side surface, wherein the retention plateau circumscribes the central slot.

Abstract: A patient health management platform implements a machine-learned metabolic model to generate a prediction of a patient's blood pressure. The platform implements a short-term prediction model to generate a daily prediction of the patient's blood pressure based on nutrition data reported by the patient and sensor data and lab test data collected for the patient. The platform implements a long-term prediction model generate a prediction of the patient's blood pressure during an extended time period based on sensor data and lab test data collected for the patient. Using the short-term prediction model, the long-term prediction model, or both, the patient health management platform generates predictions of the patient's diastolic and systolic blood pressure and updates a digital twin of the patient's metabolic profile.

Abstract: A system is provided for dynamically modifying a timeline recipe for targeted content delivery. The system includes a content consumption profiler configured to receive viewer profile data relating to a plurality of content consumption devices and to dynamically update a viewer profile database that stores classification parameters for each of the plurality of content consumption devices based on the viewer profile data. The system also includes a user interface generator configured to generate a user interface for dynamically modifying at least one timeline recipe for a targeted content delivery to at least one of the plurality of content consumption devices. Moreover, the system includes a content rendered and delivery manager configured to generate a media content production to be displayed on the respective content consumption devices of targeted grouping based on receiving input via the generated user interface.

Abstract: An ultrasonic surgical instrument includes an end effector with an ultrasonic blade, a shaft assembly, and a body assembly. The shaft assembly has an articulation section, an acoustic waveguide with a flexible waveguide portion, an articulation band configured to drive articulation of the articulation section between a straight configuration and an articulated configuration, and a pin distal to the articulation section and configured to constrain a distal waveguide portion to the end effector. The body assembly has a housing, a transducer assembly, and a compensator operatively connected to the articulation band and the acoustic waveguide. The compensator is configured to longitudinally urge the acoustic waveguide to thereby pivot the ultrasonic blade about the pin for alignment relative to another portion of the end effector.

Abstract: System and method for network address based blocking for multiple substrates. The method includes receiving a block request to block one or more network addresses. The method also includes storing the one or more network addresses in a block list at a database repository. The block list includes a data structure with advanced schema. The advanced schema is configurable to allow for downstream processing of the block list across multiple substrates. The block list is used to block incoming traffic from or outgoing traffic to the one or more network addresses at accounts across the multiple substrates.

Abstract: This document describes an automated external defibrillator comprising a control configured to switch between a pediatric operating mode and an adult operating mode, wherein each operating mode comprises a mode-specific energy configuration and a mode-specific user configuration; an indicator configured to provide an indication of the operating mode in use during a resuscitation process; one or more processors configured to switch to the mode-specific energy configuration and the mode-specific user configuration upon a change of operating mode between the pediatric operating mode and the adult operating mode such that the automated external defibrillator delivers a defibrillating shock to a patient based on the mode-specific energy configuration; and an interface of the automated external defibrillator provides resuscitation instructions to a user based on the mode-specific user configuration.

Abstract: A ladder platform device for defining a work surface on a ladder includes a platform that has a central panel extending between a pair of outward panels. The central panel is positionable upon a topmost step of a ladder such that each of the pair of outward panels defines a work surface to support tools and other objects. Each of the pair of outward panels has a recess to retain the tools and other objects on the outward panels. A plurality of hooks is provided and each of the plurality of hooks is removably attachable to a respective one of the pair of outward panels to suspend a tool from the respective outward panel.

Abstract: A device for dissolving a gas in a liquid is provided, the device comprising a device body, the device body comprising a liquid inlet; a liquid outlet; a plurality of substantially conical dissolving chambers located between the liquid inlet and the liquid outlet. The device may comprise a plurality of chamber connectors of or connected with the dissolving chambers. Each of the plurality of conical dissolving chambers may comprise a wider end towards the liquid outlet, the wider end comprising a chamber outlet for flow of liquid out of the dissolving chamber; and a narrower end towards the liquid inlet, the narrower end comprising a chamber inlet for flow of liquid into the dissolving chamber. The plurality of chamber connectors may define a substantially longitudinally straight passage extending through the plurality of dissolving chambers. Also provided is a related method of dissolving a gas in a liquid.

Abstract: Example embodiments relate to a method for training a predictive model from data. The method includes defining a multitude of predicates as binary functions operating on time sequences of the features or logical operations on the time sequences of the features. The method also includes iteratively training a boosting model by generating a number of new random predicates, scoring all the new random predicates by weighted information gain with respect to a class label associated with a prediction of the boosting model, selecting a number of the new random predicates with the highest weighted information gain and adding them to the boosting model, computing weights for all the predicates in the boosting model, removing one or more of the selected new predicates with the highest information gain from the boosting model in response to input from an operator. The method may include repeating the prior steps a plurality of times.

Abstract: In various embodiments, the present invention provides well-defined biodegradable poly(lactone-b-propylene fumarate) diblock and triblock polymers formed using a novel one-pot, scalable ring-opening block-order copolymerization (ROBOCOP) technique that utilizes magnesium 2,6-di-tert-butyl-4-methylphenoxide (Mg(BHT)2(THF)2) to “switch” from the ROP of cyclic esters to the ROCOP of maleic anhydride (MAn) and propylene oxide (PO) to produce PPF based block copolymers for application in additive manufacturing and patient specific regenerative medicine. These block copolymers are fully resorbable and can be photochemically crosslinked in a number of applications, including 3D printing. By adding the lactone block to the PPF polymer, the viscosity of the resulting block copolymer at working temperatures can be precisely controlled and the quantity of the reactive diluent in printable resins can be reduced or eliminated.

Abstract: In some aspects, the techniques described herein relate to a refrigerant compressor, including: a stator; a rotor configured to rotate with respect to the stator; and at least one step seal between the rotor and the stator, wherein the step seal includes a first tooth and a second tooth extending from the rotor toward the stator, wherein a downstream surface of the first tooth and an upstream surface of the second tooth are arranged at an angle relative to one another, wherein the angle is less than 90°.

Abstract: Disclosed herein is a method, system, and computer-readable medium for recommending foods to a patient. The disclosure includes accessing a record of food items recorded by a patient, including a classification of each food item. The method retrieves a current metabolic profile of the patient. Using a machine learning model, the method determines an updated classification for the food items and generates a notification for the patient. Additionally disclosed is a method, system, and computer-readable medium for recommending activities and activity times to a patient. The method includes accessing a record of activities previously recorded by a patient, each entry in the recordings including a duration of the activity and biosignal measurements. The method determines an effect of each activity on the metabolic state of the patient using a machine learning model. The method identifies activities that improve the patient's metabolic state and generates a recommendation for the patient.

Abstract: System and method for network address based blocking for multiple substrates. The method includes receiving a block request to block one or more network addresses. The method also includes storing the one or more network addresses in a block list at a database repository. The block list includes a data structure with advanced schema. The advanced schema is configurable to allow for downstream processing of the block list across multiple substrates. The block list is used to block incoming traffic from or outgoing traffic to the one or more network addresses at accounts across the multiple substrates.

Abstract: This document describes an automated external defibrillator comprising a control configured to switch between a pediatric operating mode and an adult operating mode, wherein each operating mode comprises a mode-specific energy configuration and a mode-specific user configuration; an indicator configured to provide an indication of the operating mode in use during a resuscitation process; one or more processors configured to switch to the mode-specific energy configuration and the mode-specific user configuration upon a change of operating mode between the pediatric operating mode and the adult operating mode such that the automated external defibrillator delivers a defibrillating shock to a patient based on the mode-specific energy configuration; and an interface of the automated external defibrillator provides resuscitation instructions to a user based on the mode-specific user configuration.

Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.

Abstract: A system is provided for dynamically modifying a timeline recipe for targeted content delivery. The system includes a content consumption profiler configured to receive viewer profile data relating to a plurality of content consumption devices and to dynamically update a viewer profile database that stores classification parameters for each of the plurality of content consumption devices based on the viewer profile data. The system also includes a user interface generator configured to generate a user interface for dynamically modifying at least one timeline recipe for a targeted content delivery to at least one of the plurality of content consumption devices. Moreover, the system includes a content rendered and delivery manager configured to generate a media content production to be displayed on the respective content consumption devices of targeted grouping based on receiving input via the generated user interface.