A system and method for automatic reading skin for an allergy to a substance, includes a consumer electronics device that acquires images of skin; a consumable member having a surface divided into elementary areas, each elementary area with a different possible allergenic substance; and a palette that, when applied against each elementary area brings the depositing part into contact with the skin thereby depositing the corresponding possible allergenic substance on or under the skin, where an image processing operation of the image of the skin taken by the consumer electronics device localizes the location that each depositing part has deposited the possible allergenic substance during the application and provides information in relation with a sensitivity of the skin, as indicated by a visible reaction, to the possible allergenic substance at each localized location.

A diabetic complications monitoring apparatus and a diabetic complications monitoring system using the same, includes a support fixture having a liquid crystal color changing sheet that is located on an upper surface of the support fixture and displays a foot heat distribution based on a color, a transparent glass that is located on an upper surface of the liquid crystal color changing sheet and comes into contact with user's feet to support the user's feet, a foot heat distribution measurement unit that includes a camera for imaging the liquid crystal color changing sheet and extracts and outputs a foot heat distribution from an image of the camera, a processor that acquires and outputs whether a disease occurs, or a position and size of occurrence of a disease, based on the foot heat distribution, and a data input/output device that audioizes and visualizes an output result of the processor.

According to an embodiment of the present disclosure, there is provided a laser spectroscopy-based independent device, including: a spectrometer configured to measure a spectrum of generated light which is generated by a laser projected onto a sample; and a disease analysis module configured to determine whether there is lesion tissue by applying a lesion tissue detection learning model to a result of non-discrete spectrum measurement, which is measured by the spectrometer, wherein the spectrometer is configured to measure spectra of all generated light that is generated from a time when the laser is projected onto the sample.

Particular embodiments described herein provide for a wearable electronic device, such as a bracelet, coupled to a plurality of electronic components (which may include any type of components, elements, circuitry, etc.). One particular implementation of a wearable electronic device may include a plurality of sensors configured to measure at least one health parameter of a first user associated with the wearable electronic device, and a control module in communication with the plurality of sensors. The control module includes a processor configured to receive a plurality of health parameter measurements from at least a subset of the plurality of sensors, and determine a general health state of the first user based upon the received health parameter measurements.

Systems and methods are provided for performing optical coherence tomography angiography for the rapid generation of en face images. According to one example embodiment, differential interferograms obtained using a spectral domain or swept source optical coherence tomography system are convolved with a Gabor filter, where the Gabor filter is computed according to an estimated surface depth of the tissue surface. The Gabot-convolved differential interferogram is processed to produce an en face image, without requiring the performing of a fast Fourier transform and k-space resampling. In another example embodiment, two interferograms are separately convolved with a Gabor filter, and the amplitudes of the Gabor-convolved interferograms are subtracted to generate a differential Gabor-convolved interferogram amplitude frame, which is then further processed to generate an en face image in the absence of performing a fast Fourier transform and k-space resampling. The example OCTA methods disclosed herein are shown to

A method of demonstrating the impact of a treatment on a surface comprising the steps of: i optionally imaging at least one untreated surface ii applying at least one treatment to the surface(s)such that if step i) is not performed at least two different surfaces are treated with differing treatments, iii imaging the treated surface(s) to create an image; iv converting the imaging data into a format suitable to create a magnified image on a 3D printer; v producing a 3D model of each of the imaged surface(s).

Provided are an evaluation method for objectively evaluating the glow of the skin, a skin glow improver, and a method for examining skin glow improvers. This method for evaluating the glow of the skin comprises assessing the specular reflectance and diffuse reflectance of skin after polarized light is applied to the surface of the skin, and determining that glow is present in the skin when prescribed conditions are satisfied. A skin glow improver is provided by combining an alkali metal salt of alkoxysalicylic acid and trimethylglycine. This method for examining skin glow improvers makes it possible, using a significant decrease in surface roughness as an indicator, to examine samples capable of improving the specular reflectance of the skin.

Various techniques pertain to a system having multiple mobile computing devices that includes a unified front end computing device and a mobile computing device of a client, a first artificial intelligence model operatively coupled to the multiple mobile computing devices and predicting a predicted body characteristic of a part of a body of the client for providing body care to the client, a second artificial intelligence model operatively coupled to the multiple mobile computing devices and predicting a list of products or services for the body care at least by executing a recommendation service on the list of products or services, and a data lake that is integrated with multiple application programming interfaces across multiple computing nodes and stores multiple types of data for predicting the list of products or services by the first artificial intelligence model and for predicting the personalized recommendation by the second artificial intelligence model.

An implanted device for an organ of a patient including a housing. The device includes a detector having electrodes that have a varying distance over time between them which produces a detector signal based on electrical signals derived from the organ. The device includes a signal processor disposed in the housing in communication with the detector which determines admittance from the detector signal based on the varying distance over time between the electrodes. The device includes a drive circuit disposed in the housing to cause the electrodes to generate emitted electrical signals. A method for monitoring a patient's organ.

A system or a method for providing pacing guidance to an individual for a particular activity based on a physiological strain index (PSI) or an adaptive physiological strain index (aPSI). The system in at least one embodiment includes a heart rate monitor, a memory storing multiple pacing templates, a clock, an activity completion module, an output device, and a processor configured to perform multiple steps resulting in outputting pacing information to the individual. The pacing information selected in at least one embodiment is based on the individual's heart rate that provides in part a PSI or aPSI, the elapsed time for the activity, and the amount of progress through the activity.