A system and method for manufacturing custom fit artificial nails includes a 3D surface scanning module and a 3D printing module and use thereof. A central processing module is connected to the 3D surface scanning module and the 3D printing module and performs: operating the 3D surface scanning module to obtain an image of a user's hands/feet; processing the image to create an input 3D model of nails of the user; generating an output 3D model corresponding to artificial nails matching dimensions of the user's nails according to the 3D input model; operating the 3D printing module to manufacture artificial nails according to the output 3D model; and generating medical data by correlating the identified features of the user's nails with known medical conditions, in order to diagnose a medical condition of the user which is known to exhibit the identified features as a symptom. Alternatively, or additionally, medicinal ingredient may be included in the artificial nail to treat the medical condition of the user. Embedded devices, sensors or an RFID chip may be integrated into the artificial nail.

Systems, computer-implemented methods and/or computer program products that facilitate wearable multiplatform sensing are provided. In one embodiment, a computer-implemented method comprises: measuring, by a system operatively coupled to a processor, wirelessly on a nail plate, physiological data of an entity; integrating and synchronizing, by the system, the physiological data with other physiological data from one or more devices to form integrated physiological data; and analyzing, by the system, the integrated physiological data to detect one or more disorders.

Self-directed health screening systems and methods utilizing user navigation and device integration, health analyzing algorithms, and/or self-learning techniques for the detection, quantifying, prevention, and management of health risks and discoverable health conditions. Implementations herein may include components or involve aspects associated with information collection, information processing, display/provision/rendering of professional advice, and/or processing of various associated data and information via network(s). Implementations herein provide for innovatively configured, easily upgradable, efficient, portable, scalable, easy-to-use, usage-encouraging, and/or effective implementations for screening, predicting points of inflection of pending health issues, preventing and/or managing users' health, provided via various and multiple embodiments having numerous advantages over other known techniques. Screenings, health information, and user-selectable choices may be optimized for each unit by offering different combinations over a period of time and iterating to produce the greatest usage and user traffic thereby best serving the specific health needs of the user base and sponsoring advertisers.

An apparatus including nail clipping edges configured to move towards each other when a force is applied to the apparatus, and one or more strain gauges configured to sense transformations of the apparatus caused by said force.

A determination device 1 includes: an acquisition unit 21 that acquires digital color image data 11 of a region of interest in melanonychia of a subject; a calculation unit 23 that calculates an indicator value 12 from variation in RGB values of each pixel of the digital color image data 11; and an output unit 24 that outputs a result of determining that the melanonychia is malignant if the indicator value 12 is higher than a threshold value and determining that the melanonychia is benign if the indicator value 12 is lower than the threshold value.

Provided are an electronic device and method for providing information related to a skin type of an object. The electronic device includes: a camera configured to capture at least one image including a skin portion and a non-skin portion of an object; and a processor configured to determine at least one color ratio between the skin portion and the non-skin portion from the at least one image, and determine a skin type of the object based on the determined at least one color ratio.

A method includes measuring, using at least one sensor, strain on a nail plate of a subject, wherein the at least one sensor outputs a data stream corresponding to the measuring, communicating the data stream to a receiver, and interpreting, by the receiver, the data stream to determine a parameter of interest of the subject.

A sensor includes a bridge circuit including one or more strain gauges mounted on a nail plate, the bridge circuit outputting a voltage signal, an amplifier circuit amplifying the voltage signal output by the bridge circuit to generate an amplified signal, an analog-to-digital (A/D) converter converting the amplified signal into a digital signal, a controller receiving the digital signal and facilitating communication with a receiver, and an antenna configured to transmit the digital signal.

A smartphone-based hemoglobin (Hgb) assessment application quantitatively analyzes pallor in patient-sourced photos using image analysis algorithms to enable a noninvasive, accurate quantitative smartphone app for detecting anemia. A user takes a photo of his/her fingernail beds using the app and receives an accurate displayed Hgb level. Since fingernails do not contain melanocytes, the primary source of color of these anatomical features is blood Hgb. At the same time, quality control software minimizes the impact of common fingernail irregularities (e.g. leukonychia and camera flash reflection) on Hgb level measurement. Metadata recorded upon capturing the image is leveraged for determining a users' Hgb level thereby eliminating the need for external equipment. A personalized calibration of image data with measured Hgb levels improves the accuracy of the application.

A method (200) for predicting a wellness metric (208, 314, 612) is presented. The method (200) includes maintaining (202) a model which receives as input a set of parameters and provides as output a wellness metric (208, 314, 612). Furthermore, the method (200) includes receiving (204) a set of non-invasive biological parameters (106, 404, 602) of a user (102). In 5 addition, the method (200) includes providing (206) the set of non-invasive biological parameters (106, 404, 602) as the set of parameters to the model to cause the model to generate a wellness metric (208, 314, 612) for the user (102).