A system for detecting disease progression can include an injection device configured to deliver medicament to a patient, one or more load sensors, one or more motion sensors, and a processor configured to read data from one or more of the load sensors and motion sensors and produce an output for display to a user.

A body worn or implantable hearing prosthesis, including a device configured to capture an audio environment of a recipient and evoke a hearing percept based at least in part on the captured audio environment, wherein the hearing prosthesis is configured to identify, based on the captured audio environment, one or more biomarkers present in the audio environment indicative of the recipient's ability to hear.

A method for capturing patient feedback for a medical treatment includes: receiving user instructions indicating a symptom being treated, a symptom score for the symptom being treated, and an indication of a beginning of a treatment session; receiving patient feedback comprising an updated symptom score for the symptom being treated and/or absence or presence of one or more of a plurality of attributes; storing the received patient feedback and a time in the treatment session at which the respective patient feedback was received; repeating the receiving of patient feedback and storage of data during the treatment session; and receiving a user instruction indicating an ending of the treatment session, wherein an alerting module alerts a user of the computing device for input of patient feedback after a predetermined period of time has elapsed following receipt of patient feedback without a subsequent receipt of patient feedback.

Methods, systems and circuits evaluate a subject's risk of developing type 2 diabetes or having prediabetes using at least one defined mathematical model of risk of progression that can stratify risk for patients having the same glucose measurement. The model may include NMR derived measurements of GlycA and a plurality of selected lipoprotein components of at least one biosample of the subject.

A system (100) is provided for processing status information of a medical device (020-023). The medical device performs a medical function at a bedside of a patient and is arranged for generating an alarm signal (030) to alert a caregiver of the patient to an occurrence of an event which is associated with the performing of the medical function. A status interface (120) acquires a device signal (024) of the medical device, the device signal comprising status information which is indicative of a current status of the performing of the medical function. Moreover, an analysis subsystem (140) analyzes the status information to estimate an imminent occurrence of the event based on said current status, and a notification subsystem notifies the caregiver of the imminent occurrence away from the bedside of the patient of the event by a generating a notification signal (162) for a notification device (060-064). The priority of notifying the caregiver is based on an estimate of whether the patient is asleep. The system enables the caregiver to be notified about the event ahead of time, i.e., before the event occurs and thus before the medical device generates an alarm signal. Advantageously, the patient is less disturbed by alarm signals during sleep.

Presented are a recording apparatus, a mobile terminal, an analysis apparatus, a program, and a storage medium that can detect a slight tendency toward change in step length and walking speed with high accuracy. The recording apparatus includes: a mobile terminal; and an analysis apparatus, wherein the mobile terminal includes a positioning device and a sensor, acquires position information of the mobile terminal from the positioning device, acquires, from the sensor, measurement information indicating whether a walker is walking straight on a flat, extracts position information of a case where the walker is walking straight on the flat from among pieces of the position information, on the basis of the measurement information, and calculates a walking speed and a step length of the walker, on the basis of the extracted position information, and the analysis apparatus notifies the walker of changes in walking speed and step length.

The present method and system provides a neuromodulation therapy including receiving a plurality of input data relating to a patient, the input data including brain value measurements and body value measurements. The method and system includes analyzing the input data in reference to reference data generated based on machine learning operations associated with existing patient data and reference database data. Based thereon, the method and system includes electronically determining, a brain malady and a severity value for the patient and electronically generating a treatment protocol for the patient, the treatment protocol includes transcranial stimulation parameters. Therein, the method and system includes applying a transcranial stimulation using the transcranial stimulation parameters based on the treatment protocol.

The present disclosure provides a method for treating clinical or pre-clinical skin damage in a skin field of a subject, wherein the skin field has been allocated a skin cancerization field index (SCFI) score of at least 1 as determined by a process comprising the steps of: (i) assessing the number of keratoses in the skin field; (ii) assessing the thickness of the thickest keratosis in the skin field; and (iii) assessing the proportion of the field affected by clinical or subclinical skin damage. Based on the assessments made in (i), (ii) and (iii) the subject is optionally treated by at least one of (a) freezing one or more lesions, (b) shaving, curetting or surgically removing one or more lesions, (c) applying a topical treatment for actinic keratosis, basal cell carcinoma or squamous cell carcinoma, and (d) radiation therapy.

A system and method is used to monitor, control, and/or provide feedback relative to one or more factors related to a patient's body, such as a shoulder, pursuant to a treatment process. The system monitors, controls, and/or provides feedback relative to shoulder factors including shoulder motion, shoulder muscle contraction, and external pressure on the shoulder.

A system (100) for detecting tissue inflammation, and gingivitis specifically, including a light emitter (102); a diffuse reflective spectroscopy probe (107) having a source-detector distance between 300 μm-2000 μm; and a plurality of detectors (106, 108, 112) configured to detect: a first wavelength that is less than 615 nm and having a first bandwidth; and second and third wavelengths that are equal to or greater than 615 nm and have second and third bandwidths, respectively, wherein the second or third bandwidth is greater than the first bandwidth.