Abstract: A noninvasive physiological sensor can include a first body portion and a second body portion coupled to each other and configured to at least partially enclose a user's finger. The sensor can further include a first probe coupled to one or more emitters and a second probe coupled to a detector. The first probe can direct light emitted from the one or more emitters toward tissue of the user's finger and the second probe can direct light attenuated through the tissue to the detector. The first and second probes can be coupled to the first and second body portions such that when the first and second body portions are rotated with respect to one another, ends of the first and second probes can be moved in a direction towards one another to compress the tissue of the user's finger.

Abstract: An optical physiological sensor configured to perform high speed spectral sweep analysis of sample tissue being measured to non-invasively predict an analyte level of a patient. An emitter of the optical physiological sensor can be regulated to operate at different temperatures to emit radiation at different wavelengths. Variation in emitter drive current, duty cycle, and forward voltage can also be used to cause the emitter to emit a range of wavelengths. Informative spectral data can be obtained during the sweeping of specific wavelength regions of sample tissue.

Abstract: Systems and methods for a comprehensive and personalized approach to health and lifestyle coaching are described. The system may determine health metrics of a user based on detected physiological parameters. The health metrics may be used to determine health recommendations and transmit feedback to the user based on user compliance with the recommendations.

Abstract: A system which provides closed loop insulin administration is disclosed. The system includes redundant glucose sensors which may be interleaved in order to provide monitoring when one of the glucose sensors is in a settling period. The system may include a disease management unit which includes both a glucose sensor and an insulin pump. A closed loop disease management system which bases insulin administration on accurate glucose measurements may improve a patient's quality of life.

Abstract: Systems, methods, apparatuses, and medical devices for harmonizing data from a plurality of non-invasive sensors are described. A physiological parameter can be determined by harmonizing data between two or more different types of non-invasive physiological sensors interrogating the same or proximate measurement sites. Data from one or more first non-invasive sensors can be utilized to identify one or more variables that are useful in one or more calculations associated with data from one or more second non-invasive sensors. Data from one or more first non-invasive sensors can be utilized to calibrate one or more second non-invasive sensors. Non-invasive sensors can include, but are not limited to, an optical coherence tomography (OCT) sensor, a bio-impedance sensor, a tissue dielectric constant sensor, a plethysmograph sensor, or a Raman spectrometer.

Abstract: An improved system and method of selectively transmitting asset data from one or more sensors associated with the vehicle to a backend server, which is configured to analyze the asset data and, if necessary for further analysis of the asset data (e.g., to determine whether a safety event has occurred) and/or to provide actionable data for review by a safety analyst, requests further asset data from a vehicle device.

Abstract: A data processing system includes: a processor; a memory containing programming instructions for execution by the processor; and a network interface for communicating with an Artificial Intelligence (AI) engine. The programming instructions include an application for generating written content, the application having a function to generate and submit a structured query regarding the written content to the AI engine to generate feedback on an assessed quality of the written content, the structured query structured to prompt for feedback in a variety of specified categories for the written content. The application further includes a user interface to display the feedback on the written content and provide an option to a user to implement the feedback to revise the written content.

Abstract: An exercise recommendation system determines workout plans for users. The exercise recommendation system trains a machine-learned model configured to rank a set of exercises, and the ranking of exercises can be modified based on feedback from a user, for instance requesting that an exercise be recommended more frequently, less frequently, or never. The exercise recommendation system can also implement a machine-learned model configured to predict a measure of strength for the user, and can, in response to determining that the measure of strength of the user has decreased or plateaued over time, modify a workout for a user based on a muscle or muscle group associated with the measure of strength. Likewise, the exercise recommendation system can modify a workout in response to a predicted measure of strength being less than an actual measure of strength, for instance to include exercises targeting muscles associated with the measure of strength.

Abstract: The disclosed embodiments include computer-implemented apparatuses and processes that facilitate a real-time prediction of future events using trained artificial-intelligence processes and inferred ground-truth labelling in multiple data populations. For example, an apparatus may receive application data characterizing an exchange of data from a device, and based on an application of an artificial-intelligence process to an input dataset that includes at least a portion of the application data, the apparatus may generate, in real time, output data indicative of a likelihood of an occurrence of at least one targeted event associated with the data exchange during a future temporal interval. The artificial-intelligence process may trained using datasets associated with inferred ground-truth labels and multiple data populations, and the apparatus may transmit at least a portion of the output data to the device for presentation within a digital interface.

Abstract: An exercise recommendation system determines workout plans for users. The exercise recommendation system trains a machine-learned model configured to rank a set of exercises, and the ranking of exercises can be modified based on feedback from a user, for instance requesting that an exercise be recommended more frequently, less frequently, or never. The exercise recommendation system can also implement a machine-learned model configured to predict a measure of strength for the user, and can, in response to determining that the measure of strength of the user has decreased or plateaued over time, modify a workout for a user based on a muscle or muscle group associated with the measure of strength. Likewise, the exercise recommendation system can modify a workout in response to a predicted measure of strength being less than an actual measure of strength, for instance to include exercises targeting muscles associated with the measure of strength.

Abstract: Systems, methods, and apparatuses for enabling a plurality of non-invasive, physiological sensors to obtain physiological measurements from the same tissue site. Each of a plurality of sensors can be integrated with or attached to a multi-sensor apparatus. The multi-sensor apparatus can orient the plurality of non-invasive, physiological sensors such that each of the plurality of non-invasive, physiological sensors obtains physiological data from the same or a similar location.

Abstract: The disclosure provides improvements for transmitting data between different voltage domains of an IC, such as a chip. The disclosure introduces a data transfer circuit that uses a multi-voltage RAM, referred to herein as MVRAM, for transmitting data across the different voltage domains. The MVRAM has multiple memory cells with write ports and read ports on different clock and voltage domains. Accordingly, a write operation can occur completely on the write domain voltage and the read operation can occur completely on the read domain voltage. In one example, the data transfer circuit includes: (1) write logic operating at a first operating voltage, (2) read logic operating at second operating voltage, and (3) a MVRAM with write ports that operate under the first operating voltage and read ports that operate under the second operating voltage.

Abstract: A noninvasive physiological sensor can include a first body portion and a second body portion coupled to each other and configured to at least partially enclose a user's finger. The sensor can further include a first probe coupled to one or more emitters and a second probe coupled to a detector. The first probe can direct light emitted from the one or more emitters toward tissue of the user's finger and the second probe can direct light attenuated through the tissue to the detector. The first and second probes can be coupled to the first and second body portions such that when the first and second body portions are rotated with respect to one another, ends of the first and second probes can be moved in a direction towards one another to compress the tissue of the user's finger.

Abstract: The present disclosure describes methods of preparing carbanucleosides.

Abstract: Systems, methods, and apparatuses for enabling a plurality of non-invasive, physiological sensors to obtain physiological measurements from essentially the same, overlapping, or proximate regions of tissue of a patient are disclosed. Each of a plurality of sensors can be integrated with or attached to a multi-sensor apparatus and can be oriented such that each sensor is directed towards, or can obtain a measurement from, the same or a similar location.

Abstract: Systems, methods, apparatuses, and medical devices for harmonizing data from a plurality of non-invasive sensors are described. A physiological parameter can be determined by harmonizing data between two or more different types of non-invasive physiological sensors interrogating the same or proximate measurement sites. Data from one or more first non-invasive sensors can be utilized to identify one or more variables that are useful in one or more calculations associated with data from one or more second non-invasive sensors. Data from one or more first non-invasive sensors can be utilized to calibrate one or more second non-invasive sensors. Non-invasive sensors can include, but are not limited to, an optical coherence tomography (OCT) sensor, a bio-impedance sensor, a tissue dielectric constant sensor, a plethysmograph sensor, or a Raman spectrometer.

Abstract: An optical measurement device includes a light source, a first detector, and a second detector. The light source emits light to a measurement site of a patient and one or more detectors detect the light from the light source. At least a portion of a detector is translucent and the light passes through the translucent portion prior to reaching the measurement site. A detector receives the light after attenuation and/or reflection or refraction by the measurement site. A processor determines a light intensity of the light source, a light intensity through a tissue site, or a light intensity of reflected or refracted light based on light detected by the one or more detectors. The processor can estimate a concentration of an analyte at the measurement site or an absorption or reflection at the measurement site.

Abstract: Systems, methods, and apparatuses for enabling a plurality of non-invasive, physiological sensors to obtain physiological measurements from the same tissue site. Each of a plurality of sensors can be integrated with or attached to a multi-sensor apparatus. The multi-sensor apparatus can orient the plurality of non-invasive, physiological sensors such that each of the plurality of non-invasive, physiological sensors obtains physiological data from the same or a similar location.