Abstract: This application describes, among other things, machine-learning models for performing specific clinical tasks. An example method includes receiving a prompt at a first computing system in communication with a machine-learning model trained to assist in performing a clinic task that includes generating a report of a patient's medical records, guiding a patient through a care plan, creating patient care guidelines based on a patient's health profile, identifying patients requiring follow-up at a hospital, identifying changes in a standard of care for a disease setting, or evaluating unstructured data associated with a patient to identify a cohort of similar patients. Based on the prompt, a natural language response is generated that is responsive to the prompt and is based on an analysis by the machine-learning model of a repository of data that is determined to be relevant to the prompt. And the natural language response is provided to second computing system.

Abstract: An implantable medical device configured to selectively permit access to a medicament reservoir or fluid pathway by way of at least one contactless key, including an implantable medical device having a medicament reservoir fluidly coupled to an access port via a first conduit and a second conduit via an access valve, and at least one contactless key configured to impart a magnetic field upon a portion of the implantable medical pump to manipulate the access valve among a first position fluidly coupling the medicament reservoir to the access port via the first conduit, and a second position fluidly coupling the medicament reservoir to the access port via the second conduit, and a third position isolating the medicament reservoir from the access port.

Abstract: This application describes, amongst other things, methods and systems for building and deploying agents. An example method includes obtaining orchestration data about a set of task-specific components selected to provide a response to the prompt, where each respective task-specific components in the set of task-specific components is configured to assist with a respective clinical task of the one or more clinical tasks. The method further includes, determining an order in which each respective task-specific components of the set of task-specific components should be utilized to prepare a complete response to the prompt that address the one or more clinical tasks based on the obtained orchestration data about the set of task-specific components. The method also includes, in accordance with the determined order, providing first data related to the prompt to a first task-specific component and receiving a first response from the first task-specific component.

Abstract: The present disclosure provides compositions, methods, systems, and devices for polynucleotide processing and analyte characterization from a single cell. Such polynucleotide processing may be useful for a variety of applications. The compositions, methods, systems, and devices disclosed herein generally describe barcoded oligonucleotides, which can be bound to a bead, such as a gel bead, useful for characterizing one or more analytes including, for example, protein (e.g., cell surface or intracellular proteins) and chromatin (e.g., accessible chromatin).

Abstract: This application describes, among other things, systems and methods for configuring a task-specific machine-learning model. An example method includes, based on a request to modify a machine-learning model for performing a clinical task, retrieving a corresponding node architecture defining conditional logic for performing the clinical task. The conditional logic is executed based on a first order, including an input node, an output node, and an intermediate node, of a first set of interconnected nodes including a data source node, a machine-learning model node, and a conditional logic node. A representation is generated including a first feature for configuring conditional logic of the node architecture and a second feature for configuring a parameter of a node in the first set of interconnected nodes. A selection of the first or second feature defines a second order of a second set of interconnected nodes, causing the node architecture's conditional logic to be updated.

Abstract: This application describes, among other things, systems and methods for deploying a task-specific machine-learning model. An example method includes receiving a prompt associated with one or more commands and a plurality of tokens. A first task-specific machine-learning model is identified based on a first command of the one or more commands. Some or all of the tokens of the plurality of tokens are applied to a node associated with the first task-specific machine-learning model, and a plurality of restricted data is received. Based on evaluating the plurality of restricted data, a correlation between the first node and a second node is determined. If the correlation satisfies a threshold condition, a plurality of text data different than the prompt is generated, otherwise the some or all of the tokens are again provided to the first node. Some or all of the tokens are then traversed and applied to the second node.

Abstract: This application describes, among other things, systems and methods for interacting with a task-specific orchestration. An example method includes obtaining medical data from one or more data collections. A set of user interface elements is presented at a user interface, where each respective user interface element of the set of user interface elements represents a respective task-specific orchestration that includes one or more respective machine-learning models fine-tuned for a specific task or domain based on the medical data. When a user interface element representing a respective task-specific orchestration is selected, at least some of the medical data is provided to the respective task-specific orchestration, and a different user interface is presented for communicating with the respective task-specific orchestration. Based on receiving a prompt at the different user interface, a response object is generated by the task-specific orchestration based on the prompt and at least some of the medical data.

Abstract: This application describes, among other things, methods of selecting a task-specific machine-learning model for addressing a clinical task. An example method includes receiving a prompt from a user. Based on determining that the prompt requests assistance with a clinical task, a machine-learning model trained to select from among a plurality of task-specific machine-learning models each trained to assist with one of a plurality of clinical tasks selects a respective task-specific machine-learning model from among the plurality of task-specific machine-learning models based on the prompt. The prompt is provided to the selected task-specific machine-learning model. And a response received from the selected task-specific machine-learning model is provided to the user.

Abstract: This application describes, among other things, methods of generating task-specific agent modules based on user requests. An example method includes receiving a request from a user for performance of a specific task. In response to the request, an agent module to perform the specific task is generated. The generating includes selecting a set of agent building blocks from a plurality of available agent building blocks, where each agent building block in the plurality of available agent building blocks has a respective assigned function, and connecting the set of agent building blocks to form the agent module. The agent module is caused to be executed, and information from the request is provided to the agent module. Based on providing information from the request to the agent module, a response for performing the specific task is received and provided to the user.

Abstract: Systems and methods for building a three-dimensional composite scene are disclosed. Certain embodiments of the systems and methods may include the use of a three-dimensional capture device that captures a plurality of three-dimensional images of an environment. Some embodiments may further include elements concerning aligning and/or mapping the captured images. Various embodiments may further include elements concerning reconstructing the environment from which the images were captured. The methods disclosed herein may be performed by a program embodied on a non-transitory computer-readable storage medium when executed the program is executed a processor.

Abstract: Data processing techniques are described to obtain user data previously collected when a user is requested to complete application forms associated with multiple servers. The application forms may include some fields that may be in common and that may request the same user data. For each application form requested by the user, the data processing techniques can identify and obtain the relevant previously collected data about the user for the application form. The application form for a product can have certain fields that may be pre-filled based on the relevant and/or non-confidential previously collected user data. The data processing techniques can also provide an estimate of the time that may be needed by the user to complete at least one application form so that the user can obtain a requested product.

Abstract: Water-based coating compositions or paint having improved gloss retention, including a latex or water-dispersible polymer, a UV-VIS absorber comprising a substituted benzophenone capable of being a free radical generator, a hindered amine light stabilizer, and optionally a low-VOC coalescent provided in a preferably desired amount. A composition comprising a blend a UV-VIS absorber comprising a substituted benzophenone capable of being a free radical generator, a hindered amine light stabilizer, and a low-VOC coalescent, providing a thermally-stable coalescent that can be used in a paint formulation for gloss retention. Gloss retention of paints containing the UV-VIS absorber and hindered amine light stabilizer being markedly improved over paints that do not have both components present.

Abstract: The present disclosure is directed to compounds and methods for the treatment of disorders associated with fluid retention or salt overload, such as heart failure (in particular, congestive heart failure), chronic kidney disease, end-stage renal disease, liver disease, and peroxisome proliferator-activated receptor (PPAR) gamma agonist-induced fluid retention. The present disclosure is also directed to compounds and methods for the treatment of hypertension. The present disclosure is also directed to compounds and methods for the treatment of gastrointestinal tract disorders, including the treatment or reduction of pain associated with gastrointestinal tract disorders. The methods generally comprise administering to a mammal in need thereof a pharmaceutically effective amount of a compound, or a pharmaceutical composition comprising such a compound, that is designed to be substantially active in the gastrointestinal (GI) tract to inhibit NHE-mediated antiport of sodium ions and hydrogen ions therein.

Abstract: Systems and methods for wireless power transmission based on object identification are provided. A radio frequency wireless power transmitter is in communication with a video camera for capturing image data (e.g., a visual pattern) of at least a portion of a transmission field of the radio frequency wireless power transmitter. A processor of the radio frequency wireless power transmitter is configured to identify an object when the visual pattern matches a pre-stored visual pattern representing the object, and control transmission of one or more radio frequency power transmission waves to a receiving electronic device based on a location of the identified object, wherein the receiving electronic device uses the one or more radio frequency power transmission waves to power or to charge the receiving electronic device.

Abstract: A belt sander includes a frame, a drive roller, an idler roller rotatably attached to a pivot arm, a first linear actuator configured for pivoting the pivot arm, a nose roller and a continuous abrasive belt wrapped around the drive roller, the idler roller and the nose roller. A drive motor rotates the drive roller, and an air cylinder attached to the frame and a nose roller spindle exerts a first force against the frame and a second force equal to and opposite the first force against the nose roller spindle. A first sensor senses a position of a belt edge, and a first controller receives a belt edge position signal from the first sensor and sends a command signal responsive to the position signal to the first linear actuator for expanding or contracting so as to pivot the pivot arm about a pivot point.

Abstract: A portable aquatic exercise device for performing callisthenic workouts using water weight includes an outer bag having an outer surface and an inner surface wherein the inner surface of the outer bag creates an interior. The outer bag has a top end and a bottom end. The top end has an aperture and the bottom end has an opening. The opening has a draw string positioning the opening from an open position to a closed position. A pair of ropes is coupled to the outer surface of the outer bag. An inner bag is positioned within the interior of the outer bag. An inside of the inner bag is fills with water wherein expanding against the outer bag. A hole of the inner bag has an insert. A cap is positioned on the aperture of the outer bag and engages by threading to the insert of the inner bag.

Abstract: The invention relates to non-systemic TGR5 agonist useful in the treatment of chemotherapy-induced diarrhea, diabetes, Type II diabetes, gestational diabetes, impaired fasting glucose, impaired glucose tolerance, insulin resistance, hyperglycemia, obesity, metabolic syndrome, ulcerative colitis, Crohn's disease, disorders associated with parenteral nutrition especially during short bowel syndrome, and irritable bowel syndrome (IBS), and other TGR5 associated diseases and disorders, having the Formula: where R1, R2, R2?, R3, R4, X1, X2, X3, X4, Q, and n are described herein.

Abstract: This application generally relates to defining, displaying and interacting with tags in a 3D model. In an embodiment, a method includes generating, by a system including a processor, a three-dimensional model of an environment based on sets of aligned three-dimensional data captured from the environment, and associating tags with defined locations of the three-dimensional model, wherein the tags are respectively represented by tag icons that are spatially aligned with the defined locations of the three-dimensional model as included in different representations of the three-dimensional model rendered via an interface of a device, wherein the different representations correspond to different perspectives of the three-dimensional model, and wherein selection of the tag icons causes the tags respectively associated therewith to be rendered at the device.

Abstract: An implantable medical device configured to selectively permit access to a medicament reservoir or fluid pathway by way of at least one contactless key, including an implantable medical device having a medicament reservoir fluidly coupled to an access port via a first conduit and a second conduct via an access valve, and at least one contactless key configured to impart a magnetic field upon a portion of the implantable medical pump to manipulate the access valve between a first position fluidly coupling the medicament reservoir to the access port via the first conduit, and a second position fluidly coupling the medicament reservoir to the access port via the second conduit, and a third position isolating the medicament reservoir from the access port.