Abstract: A multi-active-implantable-medical-device therapy system is disclosed, comprising a closed-loop neural stimulation (CLNS) device and a second active medical device. The CLNS device is configured to repeatedly execute a first activity, which involves delivering neural stimuli according to a stimulus parameter, measuring the intensities of responses evoked by the stimuli, and adjusting the stimulus parameter value to maintain the measured evoked response intensity at or near a target value. The second active medical device is configured to repeatedly execute a second activity. The system also includes a tracking device in communication with the CLNS device, which is configured to monitor a shared medium of the system to estimate the timing of the second activity. Based on the timing of the second activity, the CLNS device adjusts the timing of the first activity to mitigate interference from the second activity, thereby ensuring the effective execution of the first activity according to the adjusted timing.

Abstract: The present disclosure includes a medical monitoring hub as the center of monitoring for a monitored patient. The hub includes configurable medical ports and serial ports for communicating with other medical devices in the patient's proximity. Moreover, the hub communicates with a portable patient monitor. The monitor, when docked with the hub provides display graphics different from when undocked, the display graphics including anatomical information. The hub assembles the often vast amount of electronic medical data, associates it with the monitored patient, and in some embodiments, communicates the data to the patient's medical records.

Abstract: Disclosed is a method of adapting the operation of an implantable device for delivering neurostimulation therapy to a patient. The method comprises: delivering the neurostimulation therapy to electrically excitable tissue of the patient according to at least one therapy parameter; measuring a physiological characteristic of the patient; adjusting the at least one therapy parameter according to a schedule of adjustment and the measured physiological characteristic; and repeating the delivering, measuring, and adjusting.

Abstract: A machine-learned architecture for estimating the cost determined by a cost function for a prediction node of a tree search for exploring potential paths for controlling a vehicle may include two portions: a set up portion that includes models trained to process static data and a second portion that processes dynamic object data. The respective portions of the architecture may comprise various models that determine intermediate outputs that may be projected into a space associated with estimated cost. That estimated cost may identify an estimate of an output of the cost function for paths that are based on a particular prediction node of the tree search.

Abstract: A processing system receives audience area data defining a plurality of geographical entities. The entries are clustered in response to geographical data for the entities by processing the geographical data with audience movement signals representing audience movement between the entities, to define a plurality of entity clusters. Audience similarity is quantified for selected pluralities of the geographical entities by obtaining similarity scores for entities in different entity clusters. Similar entities are allocated to a holdout group and a preferred group in response to their similarity score. Content is served to the preferred group thereby optimally configuring audience devices for subsequent measurement of audience uplift.

Abstract: There is provided a system configured to receive data associated with a vehicle operating within an environment; generate, based at least in part on the data, a graph comprising a plurality of nodes, a node of the plurality associated with one or more of a vehicle operating in the environment, a road feature, an additional vehicle, or a pedestrian; input the graph into a self-supervised machine learned model comprising an encoder, wherein the machine learned model is trained to output a representation associated with the node; receive, from the self-supervised machine learned model, a representation associated with the node; and transmit the representation to a downstream machine learned model trained to output control data based at least in part on the representation, wherein the control data is configured to control the vehicle or another vehicle.

Abstract: There is provided a the system configured to receive a pretrained model configured to output a plurality of representations based at least in part on an input comprising a graph representing an environment through which a vehicle is traversing, a node of the graph comprising, as an embedding, a vector encoding; receive a task comprising: a function to append to the pretrained model, a dataset, a loss function; and update, based at least in part on the task, the pretrained model to generate an updated machine learned model; and deploy the updated machine learned model to a vehicle computing system associated with a vehicle configured to be controlled based at least in part on an output of the updated machine learned model.

Abstract: A machine-learned architecture for generating a single trajectory or multiple trajectories for controlling a vehicle may comprise an embedding model that generates an embedding of a world state indicating environment, object, and/or other states, one or more machine-learned layers that determine a predicted world state embedding using the world state embedding, and concatenating, as combined data, that predicted world state embedding to a steering angle distribution and a velocity distribution. The combined data is provided as input to a machine-learned model (that may be a single machine-learned model or may comprise two separate machine-learned models) that determines a next steering angle distribution and a next velocity distribution. These distributions may be used as part of generating one or more trajectories for controlling the vehicle. The architecture may be iteratively used to create a series of distributions that are used to create one or more trajectories.

Abstract: A method for measuring a neural response to a stimulus. Measurement circuitry is settled prior to a stimulus, by connecting a sense electrode to the measurement circuitry to allow the measurement circuitry to settle towards a bio-electrically defined steady state. Charge is recovered on stimulus electrodes by short circuiting the stimulus electrodes to each other. An electrical stimulus is then applied from the stimulus electrodes to neural tissue, while keeping the sense electrode disconnected from the measurement circuitry. After the stimulus, a delay is imposed during which the stimulus electrodes are open circuited and the sense electrode is disconnected from the measurement circuitry and from the stimulus electrodes. After the delay, a neural response signal present at the sense electrode is measured by connecting the sense electrode to the measurement circuitry.

Abstract: A patient monitoring hub can communicate bidirectionally with external devices such as a board-in-cable or a dongle. Medical data can be communicated from the patient monitoring hub to the external devices to cause the external devices to initiate actions. For example, an external device can perform calculations based on data received from the patient monitoring hub, or take other actions (for example, creating a new patient profile, resetting baseline values for algorithms, calibrating algorithms, etc.). The external device can also communicate display characteristics associated with its data to the monitoring hub. The monitoring hub can calculate a set of options for combined layouts corresponding to different external devices or parameters. A display option may be selected for arranging a display screen estate on the monitoring hub.

Abstract: Pixelated-LED chips include substrate sidewalls with sidewall involutions and/or increased sidewall surface area regions to affect light extraction therefrom. A LED lighting device incorporates a superstrate that supports lumiphoric material and includes sidewalls with sidewall involutions and/or increased sidewall surface area regions. Methods for fabricating sidewall features may include etching (e.g., deep etching) of substrate or superstrate materials, such as by using an etch mask having edges with non-linear shapes to produce and/or enhance sidewall involutions when an etchant is supplied through the etch mask to selectively consume substrate or superstrate material.

Abstract: The present invention is related to a novel process on biological production of lipophilic substances in an oleaginous host cell, particularly Yarrowia lipolytica, comprising modification in the N-glycosylation pathway, leading to higher yield and product purity with further facilitating the overall production process.

Abstract: A method for measuring a neural response to a stimulus. Measurement circuitry is settled prior to a stimulus, by connecting a sense electrode to the measurement circuitry to allow the measurement circuitry to settle towards a bio-electrically defined steady state. Charge is recovered on stimulus electrodes by short circuiting the stimulus electrodes to each other. An electrical stimulus is then applied from the stimulus electrodes to neural tissue, while keeping the sense electrode disconnected from the measurement circuitry. After the stimulus, a delay is imposed during which the stimulus electrodes are open circuited and the sense electrode is disconnected from the measurement circuitry and from the stimulus electrodes. After the delay, a neural response signal present at the sense electrode is measured by connecting the sense electrode to the measurement circuitry.

Abstract: A method of controlling a neural stimulus by use of feedback. The neural stimulus is applied to a neural pathway in order to give rise to an evoked action potential on the neural pathway. The stimulus is defined by at least one stimulus parameter. A neural compound action potential response evoked by the stimulus is measured. From the measured evoked response a feedback variable is derived. A feedback loop is completed by using the feedback variable to control the at least one stimulus parameter value. The feedback loop adaptively compensates for changes in a gain of the feedback loop caused by electrode movement relative to the neural pathway.

Abstract: Techniques are disclosed for utilizing synchronized robot observations. The techniques may include receiving first log data associated with a first vehicle, receiving second log data associated with a second vehicle, determining that a first portion of the first log data is time related to a second portion of the second log data, and using the first portion and the second portion for mapping and/or training models.

Abstract: The subject matter described herein is directed to molecules referred to herein as chemical inducers of degradation (CIDEs) and antibody-conjugated CIDEs (Ab-CIDEs), wherein the Ab-CIDEs comprise an antibody covalently bound to the CIDE through a linker, wherein the CIDE can be further covalently bound to a phosphate moiety, and to the uses of the molecules in treating diseases and conditions where targeted protein degradation is beneficial.

Abstract: The invention relates to processes for preparing isoindolin-1-one derivatives, and in particular processes for preparing (2S,3S)-3-(4-chlorophenyl)-3-[(1R)-1-(4-chlorophenyl)-7-fluoro-5-[(1S)-1-hydroxy-1-(oxan-4-yl)propyl]-1-methoxy-3-oxo-2,3-dihydro-1H-isoindol-2-yl]-2-methylpropanoic acid. The invention also relates to crystalline forms of the compound (2S,3S)-3-(4-chlorophenyl)-3-[(1R)-1-(4-chlorophenyl)-7-fluoro-5-[(1S)-1-hydroxy-1-(oxan-4-yl)propyl]-1-methoxy-3-oxo-2,3-dihydro-1H-isoindol-2-yl]-2-methylpropanoic acid and its salts.

Abstract: The present disclosure relates to bifunctional compounds, which find utility as modulators of SMARCA2 or BRM (target protein). In particular, the present disclosure is directed to bifunctional compounds, which contain on one end a ligand that binds to the Von Hippel-Lindau E3 ubiquitin ligase, and on the other end a moiety which binds the target protein, such that the target protein is placed in proximity to the ubiquitin ligase to effect degradation (and inhibition) of target protein. The present disclosure exhibits a broad range of pharmacological activities associated with degradation/inhibition of target protein. Diseases or disorders that result from aggregation or accumulation of the target protein are treated or prevented with compounds and compositions of the present disclosure.

Abstract: The subject matter described herein relates generally to hydrolysable maleimide-containing molecules that are useful as linkers to covalently bind chemical inducers of degradation to antibodies and to the conjugates produced therefrom and their uses to treat conditions, and to the uses of the conjugates in treating diseases and conditions where targeted protein degradation is beneficial.

Abstract: The present disclosure relates to bifunctional compounds, which find utility as modulators of SMARCA2 or BRM (target protein). In particular, the present disclosure is directed to bifunctional compounds, which contain on one end a ligand that binds to the Von Hippel-Lindau E3 ubiquitin ligase, and on the other end a moiety which binds the target protein, such that the target protein is placed in proximity to the ubiquitin ligase to effect degradation (and inhibition) of target protein. The present disclosure exhibits a broad range of pharmacological activities associated with degradation/inhibition of target protein. Diseases or disorders that result from aggregation or accumulation of the target protein are treated or prevented with compounds and compositions of the present disclosure.