Methods and devices include automated coaching for management of glucose states by receiving a user's glucose levels using a continuous glucose monitoring (CGM) device, determining a time in range (TIR) value, determining a TIR state, receiving a glucose variability (GV) value, determining a GV state, determining a starting state based on the TIR state and the GV state, determining that the starting state corresponds to a non-ideal state, generating an optimized pathway to reach an ideal state based on one or more account vectors such as addressing self-management behavior including food, activity, and medication use. The optimized pathway may further be based on computer detection and classification of significant events of interest over time.

Methods and devices include automated coaching for management of glucose states by receiving a user's glucose levels using a continuous glucose monitoring (CGM) device, determining a time in range (TIR) value, determining a TIR state, receiving a glucose variability (GV) value, determining a GV state, determining a starting state based on the TIR state and the GV state, determining that the starting state corresponds to a non-ideal state, generating an optimized pathway to reach an ideal state based on one or more account vectors such as addressing self-management behavior including food, activity, and medication use. The optimized pathway may further be based on computer detection and classification of significant events of interest over time.

One example discloses a device for electromagnetic structural characterization, including: a controller having an electromagnetic transmitter output and a communications interface; wherein the controller is configured to send a signal over the electromagnetic transmitter output that causes an electromagnetic transmitter to generate a first electrical field (E1) and a first magnetic field (H1); wherein the controller configured to receive over the communications interface a second electric field (E2) and a second magnetic field (H2) received by an electromagnetic receiver; wherein the first electrical field and the first magnetic field correspond to when the electromagnetic transmitter is at a first location proximate to a structure and the second electrical field and the second magnetic field correspond to when the electromagnetic receiver is at a second location proximate to the structure; and wherein the controller is configured to calculate an impedance based on the electric and magnetic fields interacting with the structure.

Methods and devices include automated coaching for management of glucose states by receiving a user's glucose levels using a continuous glucose monitoring (CGM) device, determining a time in range (TIR) value, determining a TIR state, receiving a glucose variability (GV) value, determining a GV state, determining a starting state based on the TIR state and the GV state, determining that the starting state corresponds to a non-ideal state, generating an optimized pathway to reach an ideal state based on one or more account vectors such as addressing self-management behavior including food, activity, and medication use. The optimized pathway may further be based on computer detection and classification of significant events of interest over time.

Systems and methods are described for selecting a sound type of interest from a first (e.g., master/global) machine learning library comprising information derived from reference audio stream data acquired from a plurality of farm animal operation reference sound monitoring events, including from a first farm animal operation monitoring event of a first farm animal operation, wherein the sound type of interest is associated with a condition state of interest of a first collection of farm animals. Further, information associated with the selected sound type of interest can be included a second machine learning library, wherein the second machine learning library is operational on an edge computing device located in proximity to a second farm animal operation. Audio stream data can be acquired from the second farm animal operation in a second farm animal operation monitoring event, and processed using the second machine learning library information to determine whether the sound type of interest is present in the acquired audio stream data, thereby generating information associated with the presence or absence of the condition during the second farm animal operation monitoring event.

A system and method for providing health care diagnosis, and more specifically, to a system and method for providing automated health condition review and diagnosis with testing recommendations is disclosed. The system includes a condition analyzer server coupled to online prior medical records sources, a current treating facility processor for generating a set of current patient data, the current patient data comprises observations, conditions, vital signs, and complaints, and a data storage device containing one or more sets of one or more predetermined criteria from reference sources and record results. The condition analyzer server return a report containing recommendations potential diagnosis, additional testing recommendations, and reference source materials utilized in generating the potential diagnosis, and additional testing recommendations to the current treating facility.

An external wearable medical device includes a plurality of electrocardiogram (ECG) sensors, at least one accelerometer configured to be disposed on a patient, and at least one processor operatively coupled plurality of ECG sensors and the at least one accelerometer. The at least one processor is configured to receive an ECG signal from the plurality of ECG sensors, receive patient activity data from the at least one accelerometer, and detect, based on the patient activity data from the at least one accelerometer, data indicative of an impending syncope event. The at least one processor is configured to issue a notification of the impending syncope event, and store in a memory during a first time period data comprising the ECG signal in association with information descriptive of impending syncope event, and transmit to a remote server during a second time period the stored data for analysis at the remote server.

A training system generates a training plan for enabling a trainee to perform a plurality of kinds of training, and includes: a track record information accepting unit that acquires track record information regarding the physical action of the trainee; the target information generation unit that accepts environmental data of daily life of the trainee after the training plan is finished, and generates target information regarding a target of the function recovery of the trainee based on the accepted environmental data; the storage unit that stores statistical information regarding the function recovery in the training performed by a plurality of other trainees; and the plan generation unit that generates the training plan of the trainee based on the track record information, the target information, and the statistical information and outputs the generated training plan.

A system for reversing inflammation in a user, wherein the system further comprises a computing device further designed and configured to receive a physiological extraction of a user, wherein the physiological extraction contains at least an inflammation marker, generate, using an inflammation machine-learning model and the user physiological extraction input, a first inflammation metric of a user, wherein generating the first inflammation metric further comprises training an inflammation machine-learning model as a function of inflammation metric training data, wherein the inflammation metric training data includes a plurality of entries, and each entry correlates user physiological extraction data to at least an inflammation metric that quantitates hallmarks of inflammation in the user, identify, using an alimentary element machine-learning process and the first inflammation metric, at least an alimentary element for reversing inflammation in the user, and provide, to the user, the at least an alimentary element for reversing inflammation.

A smart animal bed system includes a base supporting a padded animal bed; a movement sensor for providing movement sensor signals in response to movement of an animal within the padded animal bed; and a temperature control system having a heating mode and a cooling mode, the temperature control system configured to selectively provide heating or cooling to the padded animal bed based at least in part on the movement sensor signals.