The embodiments described herein may relate to methods and systems for adjusting insulin delivery. Some methods and systems may be configured to adjust insulin delivery to personalize automated insulin delivery for a person with diabetes. Such personalization may include adjusting user specific dosage parameters in response to one or more back-filled time segments associated with a diurnal time block.

A apparatus for obtaining an individualized unit spectrum includes: a spectrum obtainer configured to obtain a first biological spectrum from a subject at a first measurement time, and obtain a second biological spectrum from the subject at a second measurement time; and a processor configured to extract the individualized unit spectrum from the first biological spectrum and the second biological spectrum, based on a predetermined unit spectrum of a target component.

Disclosed are a system, methods and computer-readable medium products that provide safety constraints for an insulin-delivery management program. Various examples provide safety constraints for a control algorithm-based drug delivery system that provides automatic delivery of a drug based on sensor input. Glucose measurement values may be received at regular time intervals from a sensor. A processor may predict future glucose values based on prior glucose measurement values. The safety constraints assist in safe operation of the drug delivery system during various operational scenarios. In some examples, predicted future glucose values may be used to implement safety constraints that mitigate under-delivery or over-delivery of the drug while not overly burdening the user of the drug delivery system and without sacrificing performance of the drug delivery system. Other safety constraints are also disclosed.

Systems and methods for health and body simulations in order to predict numerous physiological parameters in a subject or a population of subjects based on the input of limited physiological data.

A system can include an aural computing system in communication with the ophthalmic device. In some embodiments, the aural computing system can include a wireless communication device in communication with the ophthalmic device. In some embodiments, the ophthalmic device comprises a contact lens, which can inserted into the user's eye. The wireless communication device can comprise wearable technology.

A drug delivery device may include an Inertial Measurement Unit (IMU) is provided. The IMU may include an accelerometer, a magnetometer, or a gyroscope. Motion parameters may be detected when the drug delivery device is shipped, being prepared for activation for use, or during use. The IMU may provide data indicative of a rapid deceleration, such as when a package containing the drug delivery device is dropped, or some other physical event experienced by the drug delivery device. The drug delivery device may also include internal or external pressure sensors or a blood glucose sensor that may coordinate with the IMU to provide additional feedback regarding the status of the device or user. A controller of the drug delivery device may generate a response depending on the particular parameters being monitored or may change device operational parameters as a result of detected system events.

Systems and methods to determine if an individual is impaired. The system includes a display and a stimulus on the display. The system include a controller that is programmed to move the stimulus about the display and one or more sensors that track eye movements and pupil size of a user due to movement of the stimulus or light conditions. The system includes a processor programmed to analyze the eye movements and pupil data size. The method includes using a testing apparatus and collecting data from the testing apparatus. The method includes storing the collected data. The method includes processing the data with an automated impairment decision engine to determine whether a test subject is impaired. The method may include using machine learning models or statistical analysis to determine whether a test subject is impaired. The automated impairment decision engine may be trained using machine learning and/or statistical analysis.

An illustrative hearing system may be configured to receive, from an inertial sensor included in a hearing device configured to be worn by a user, inertial sensor data representative of at least one of motion of the hearing device or orientation of the hearing device. The hearing system may further be configured to determine, based on the inertial sensor data, an activity state of the user and to determine, based on the activity state, a cardiorespiratory quality index representative of a quality level of a measurement of a cardiorespiratory property of the user.

Systems include an invasive sensor and a non-invasive sensor for detection of analytes. The invasive sensor detects one or more non-invasively detected analytes, and the non-invasive sensor detects one or more invasively detected analytes. The one or more non-invasively detected analytes and the one or more invasively detected analytes can include at least one analyte in common, or do not include any analytes in common. The detection of the one or more non-invasively detected analytes and the detection of the one or more invasively detected analytes can be used to

A photoacoustic remote sensing system for imaging a subsurface structure in a sample, comprising exactly one laser source configured to generate a pulsed or intensity-modulated excitation beam configured to generate ultrasonic pressure signals in the sample at an excitation location, and an interrogation beam incident on the sample at the excitation location, a portion of the interrogation beam returning from the sample that is indicative of the generated ultrasonic pressure signals, an optical system configured to focus the excitation beam and the interrogation beam below a surface of the sample, a detector configured to detect the returning portion of the interrogation beam, and a processor configured to calculate an image of the sample based on a detected intensity modulation of the returning portion of the interrogation beam from below the surface of the sample.