Abstract: An implantable medical device configured to provide for an intracardiac function comprises a body, a sensor arrangement arranged on the body and configured to receive a cardiac sense signal, and a processing circuitry operatively connected to the sensor arrangement. The processing circuitry is configured to process the cardiac sense signal received using the sensor arrangement to detect, in a cardiac cycle, a first atrial event candidate based on a comparison of the cardiac sense signal with a sense threshold, to determine a modified sense threshold, to monitor, by comparing the cardiac sense signal to said modified sense threshold following the detection of the first atrial event candidate, whether in the same cardiac cycle a second atrial event candidate is detected.

Abstract: A wire strand attachment clip including a wire catch that defines a wire strand receiving and holding area configured to receive a wire strand, and a plurality of attachment arms connected to and extending from the wire catch that are dimensionally and biasingly configured to be positioned on a support post to attach the wire strand to that support post such that the attachment arms engage multiple surfaces of the support post.

Abstract: An implantable medical device configured to provide for an intracardiac function comprises a body, a sensor arrangement arranged on the body and configured to receive cardiac sense signals, and a processing circuitry operatively connected to the sensor arrangement. The processing circuitry is configured to process cardiac sense signals received using the sensor arrangement to detect atrial events caused by atrial activity based on a comparison of the cardiac sense signals to a sense threshold for a number of cardiac cycles, to evaluate whether a reduction criterion is fulfilled, wherein the reduction criterion is fulfilled if in X1 out of Y1 cardiac cycles no atrial events have been detected, X1 being a natural number equal to or larger than 1 and Y1 being a natural number equal to or larger than X1, and to reduce the sense threshold if said reduction criterion is fulfilled.

Abstract: A data processing system for machine-learning driven data analysis implements obtaining digital healthcare service provider information associated with one or more digital healthcare service providers and query parameters information from a user searching for digital healthcare service providers that may provide digital healthcare services to employees of the user. The system analyzes query parameter information using a first machine learning model to obtain category information. The system analyzes the category information and the digital health service provider information to predict digital healthcare service providers that provide services that the user may be interested in provided to the employees. These predictions are provided to the user as digital healthcare service recommendations.

Abstract: A system includes a high energy laser (HEL) configured to transmit a HEL beam and a beacon illumination laser (BIL) configured to transmit a BIL beam. The system also includes at least one fast steering mirror (FSM) configured to steer the BIL beam to be offset from the HEL beam. The system further includes at least one Coudé path FSM configured to correct for atmospheric jitter of the HEL beam and the BIL beam while maintaining the offset of the BIL beam from the HEL beam.

Abstract: A data processing system for machine-learning driven data analysis and reminders implements obtaining insurance claim information associated with a plurality of insurance claims associated with a user, user demographic information for the user or both and obtaining digital healthcare service provider information associated with one or more digital healthcare service providers.

Abstract: A system includes a high energy laser (HEL) configured to transmit a HEL beam aimed at a first location on an airborne target. The system also includes a beacon illuminator laser (BIL) configured to transmit a BIL beam aimed at a second location on the target, wherein the second location is offset from the first location. The system also includes at least one fast steering mirror (FSM) configured to steer the BIL beam to be spatially and angularly offset from the HEL beam. The system also includes at least one Coudé path FSM configured to simultaneously receive both the HEL beam and the BIL beam and steer the HEL beam and the BIL beam to correct for atmospheric jitter of the HEL beam and the BIL beam while maintaining the offset of the BIL beam from the HEL beam.

Abstract: A data processing system for machine-learning driven data analysis implements obtaining digital healthcare service provider information associated with one or more digital healthcare service providers and query parameters information from a user searching for digital healthcare service providers that may provide digital healthcare services to employees of the user. The system analyzes query parameter information using a first machine learning model to obtain category information. The system analyzes the category information and the digital health service provider information to predict digital healthcare service providers that provide services that the user may be interested in provided to the employees. These predictions are provided to the user as digital healthcare service recommendations.

Abstract: Systems, methods, and devices are provided for clinical laboratory testing using less than 1 mL of sample collected from a subject. Some embodiments collect between 1 mL and about 10 uL of sample from a subject. A method is also provided for analyte testing, wherein a mobile computing device may be used for laboratory test requests and for handling of the analyte testing process.

Abstract: A system includes a target illumination laser (TIL) configured to illuminate an airborne target with a TIL beam. The system also includes a beacon illuminator (BIL) configured to transmit a spot of illumination to an expected location on the target, wherein the spot of illumination is more focused than the TIL beam. The system also includes a camera configured to receive an image of the spot reflected off the target. The system also includes a controller configured to determine an actual location of the spot on the target based on the received image. The controller is also configured to estimate a spot motion by correlating the actual location of the spot on the target with the expected location on the target. The controller is also configured to predict uplink jitter of a high energy laser (HEL) beam generated by a HEL based on the BIL spot motion, the uplink jitter caused by atmospheric optical turbulence.

Abstract: Provided herein are medical testing devices, systems, and methods that integrate multiplex, multi-technology, multi-configuration, multisample, or multi-threading capabilities. These capabilities are achieved using one or more of a level operations and communications architecture, a protocol exection engine, and a machine vision and processing system, method, or device in order to make testing of biologic or other samples more efficient in terms of cost, time, energy, or by prioritizing at least one other objective.

Abstract: The present invention provides systems, devices, and methods for point-of-care and/or distributed testing services. The methods and devices of the invention are directed toward automatic detection of analytes in a bodily fluid. The components of the device can be modified to allow for more flexible and robust use with the disclosed methods for a variety of medical, laboratory, and other applications. The systems, devices, and methods of the present invention can allow for effective use of samples by improved sample preparation and analysis.

Abstract: In one embodiment, a method is provided comprising analyte testing on one or more types of samples.

Abstract: Systems and methods are provided for sample processing. A device may be provided, capable of receiving the sample, and performing one or more of a sample preparation, sample assay, and detection step. The device may be capable of performing multiple assays. The device may comprise one or more modules that may be capable of performing one or more of a sample preparation, sample assay, and detection step. The device may be capable of performing the steps using a small volume of sample.

Abstract: Systems and methods are provided for sample processing. A device may be provided, capable of receiving the sample, and performing one or more of a sample preparation, sample assay, and detection step. The device may be capable of performing multiple assays. The device may comprise one or more modules that may be capable of performing one or more of a sample preparation, sample assay, and detection step. The device may be capable of performing the steps using a small volume of sample.

Abstract: Methods for obtaining a sample from a subject include providing a sample collection room within a retail store; and obtaining a sample from a subject at a retail location. Sample collection rooms may house a sample analysis device or system. Samples may be small, e.g., a finger-stick capillary blood sample.

Abstract: Bodily fluid sample collection systems, devices, and method are provided. The sample is collected at a first location and subjected to a first sample processing step. The sample may be shipped to a second location and subjected to a second sample processing step that does not introduce contaminants into a plasma portion of the sample formed from the first processing step. The sample may also be mixed with other material(s) in the collection device.

Abstract: Methods, devices, systems, and apparatuses are provided for the image analysis of measurement of biological samples.