Abstract: Approaches for analyzing an input image and providing one or more outputs related to the input image are provided. In accordance with an exemplary embodiment, an input image may be received and analyzed, using a trained machine learning model, to generate an inference related to the image. Based, at least in part, upon the generated inference, one or more reports related to the inference can be generated and provided for presentation on a user device. A user can interact with the report in a conversational manner with the computer system to generate additional reports or insights related to the input image.

Abstract: Measurements of esophageal pressure and geometry are classified using a trained machine learning algorithm, such as a neural network or other classifier algorithm. Contractile response patterns can be identified in the esophageal pressure and geometry data, from which classified feature data can be generated. The classified feature data classify the esophageal pressure and geometry data as being indicative of an upper gastrointestinal disorder in the subject.

Abstract: Approaches for analyzing an input image and providing one or more outputs related to the input image are provided. In accordance with an exemplary embodiment, an input image may be received and analyzed, using a trained machine learning model, to generate an inference related to the image. Based, at least in part, upon the generated inference, one or more reports related to the inference can be generated and provided for presentation on a user device. A user can interact with the report in a conversational manner with the computer system to generate additional reports or insights related to the input image.

Abstract: Approaches presented herein provide systems and methods for a data platform to identify, evaluate, and map data for processing via one or more compute instances. The data platform may receive an instruction and retrieve data from a variety of remote data locations. The data may be processed, such as to label or file the data, and then streamed to a compute instance for further evaluation. The data platform may be used to provide a centralized system for managing system data that combine both legacy and modern storage solutions into a single integrated platform.

Abstract: An exemplary embodiment of the present disclosure provides systems and methods for non-invasively measuring blood pressure, the system and methods comprise a wearable device having a first surface, a first sensor positioned on the first surface of the wearable device, the first sensor configured to receive a first signal, wherein the first signal is indicative of a first blood-volume change in a first vessel of a subject, a second sensor positioned within the wearable device, the second sensor configured to receive a second signal, wherein the second signal is indicative of a cardiac mechanical motion of the subject, and a processor positioned within the wearable device, the processor configured to generate an output based at least on the first signal and the second signal, the output representing a blood pressure measurement of the subject.

Abstract: In accordance with an example embodiment, a body-weight sensing scale includes cardio-based physiological sensing circuitry to detect heart characteristics of a user, and provide outputs indicative of the detected heart characteristics. A processor circuit is arranged with the cardio-based physiological sensing circuitry to process data to provide a noise-reduced cardiogram signal which characterizes functionality/health of the user's heart.

Abstract: In accordance with an example embodiment, a body-weight sensing scale includes cardio-based physiological sensing circuitry to detect heart characteristics of a user, and provide outputs indicative of the detected heart characteristics. A processor circuit is arranged with the cardio-based physiological sensing circuitry to process data to provide a noise-reduced cardiogram signal which characterizes functionality/health of the user's heart.

Abstract: Characteristics of a user's heart are detected. In accordance with an example embodiment, a ballistocardiogram (BCG) sensor is used to detect heart characteristics of a user, and provide a BCG output indicative of the detected heart characteristics. The BCG output is further processed using data from one or more additional sensors, such as to reduce noise and/or otherwise process the BCG signal to characterize the user's heart function.

Abstract: Characteristics of a user's heart are detected. In accordance with an example embodiment, a ballistocardiogram (BCG) sensor is used to detect heart characteristics of a user, and provide a BCG output indicative of the detected heart characteristics. The BCG output is further processed using data from one or more additional sensors, such as to reduce noise and/or otherwise process the BCG signal to characterize the user's heart function.

Abstract: Characteristics of a user's heart are detected. In accordance with an example embodiment, a ballistocardiogram (BCG) sensor is used to detect heart characteristics of a user, and provide a BCG output indicative of the detected heart characteristics. The BCG output is further processed using data from one or more additional sensors, such as to reduce noise and/or otherwise process the BCG signal to characterize the user's heart function.

Abstract: Characteristics of a user's heart are detected. In accordance with an example embodiment, a ballistocardiogram (BCG) sensor is used to detect heart characteristics of a user, and provide a BCG output indicative of the detected heart characteristics. The BCG output is further processed using data from one or more additional sensors, such as to reduce noise and/or otherwise process the BCG signal to characterize the user's heart function.

Abstract: Characteristics of a user's heart are detected. In accordance with an example embodiment, a ballistocardiogram (BCG) sensor is used to detect heart characteristics of a user, and provide a BCG output indicative of the detected heart characteristics. The BCG output is further processed using data from one or more additional sensors, such as to reduce noise and/or otherwise process the BCG signal to characterize the user's heart function.

Abstract: Characteristics of a user's heart are detected. In accordance with an example embodiment, a ballistocardiogram (BCG) sensor is used to detect heart characteristics of a user, and provide a BCG output indicative of the detected heart characteristics. The BCG output is further processed using data from one or more additional sensors, such as to reduce noise and/or otherwise process the BCG signal to characterize the user's heart function.

Abstract: Characteristics of a user's heart are detected. In accordance with an example embodiment, a ballistocardiogram (BCG) sensor is used to detect heart characteristics of a user, and provide a BCG output indicative of the detected heart characteristics. The BCG output is further processed using data from one or more additional sensors, such as to reduce noise and/or otherwise process the BCG signal to characterize the user's heart function.

Abstract: Characteristics of a user's heart are detected. In accordance with an example embodiment, a ballistocardiogram (BCG) sensor is used to detect heart characteristics of a user, and provide a BCG output indicative of the detected heart characteristics. The BCG output is further processed using data from one or more additional sensors, such as to reduce noise and/or otherwise process the BCG signal to characterize the user's heart function.