An electronic device and method are disclosed. The electronic device includes a communication circuit, a memory storing identifiers for one or more external electronic devices defined as a group, and a processor. The processor implements the method, including receiving biometric information detected by an external biometric detection device via transmission from at least one external electronic device of the group, selecting from within the group a particular external electronic device based on the received biometric information and the information related to the particular external electronic device, and transmitting the received biometric information to the selected particular external electronic device.

An image sensing apparatus including a pixel array comprising two or more photo-sensor elements, a first optical filter disposed on a first photo-sensor element of the pixel array and a second optical filter disposed on a second photo-sensor element of the pixel array. The first optical filter is configured such that a spectral response of the first optical filter includes a first passband in a first wavelength range and a second passband in a second wavelength range, where the first passband and the second passband are separated by a first stop band. The second optical filter is configured such that a spectral response of the second optical filter includes a third passband in the first wavelength range and a fourth passband in the second wavelength range, where the third passband and the fourth passband are separated by a second stop band.

Embodiments of the present disclosure generally relate to methods for analyzing outcomes of illnesses, such as COVID-19, on living organisms. More particularly, embodiments of the present disclosure relate to methods for identifying risk of illness based on genetic markers and other available data, predicting results of mass exposure to an Illness based on a populations genomes and other available data, and providing indicators and methods of visualization for probability of illness in any living organism.

Embodiments of the present disclosure generally relate to methods for analyzing outcomes of illnesses, such as COVID-19, on living organisms. More particularly, embodiments of the present disclosure relate to methods for identifying risk of illness based on genetic markers and other available data, predicting results of mass exposure to an Illness based on a populations genomes and other available data, and providing indicators and methods of visualization for probability of illness in any living organism.

According to one aspect of the invention, a method for assessing physiological properties of a biological tissue is provided. The method comprising the steps of transmitting from a first coaxial probe, receiving at a second coaxial probe and assessing physiological properties. The transmission from the first probe is a microwave signal. The second coaxial probe receives a microwave signal. The first coaxial probe and the second coaxial probe are arranged in connection with the biological tissue. The physiological properties of the biological tissue between the coaxial probes are assessed based on the microwave signal transmitted and received across the biological tissue. The invention further relates to a system and a coaxial probe useful in performing such a method.

A non-invasive system for calculating a human or animal score, the system including a measurement slave device constructed and arranged to carry out measurements of biological parameters; a measure slave device constructed and arranged to carry out measurements of physical parameters; a master device constructed and arranged to collect the biological and physical parameters and calculate the human or animal score, the score including biological and physical parameters.

A mobile healthcare device and method of operating the same are provided. The method includes setting a mode of the mobile healthcare device to a measurement mode, displaying a screen for guiding a user to maintain a predetermined position during the measurement mode, and, in response to a predetermined amount of time passing from a time at which the screen begins to be displayed, obtaining state information of the user based on bio information of the user, the bio information being received from a sensor.

Systems and methods are configured to detect and/or ablate cancerous tissue, such as during surgery. The system uses Laser Ramen Spectroscopy (LRS) or Surface Enhanced Raman Spectroscopy (SERS) to enhance a detection signal pursuant to a spectroscopy analysis of tissue. Rapid in situ detection of cancer can be combined with immediate laser thermal ablation of the cancerous tissue. The detection and ablation can occur before, during, or after surgical resection.

A method for differentiating between tissue states or types including receiving a sequence of thermal data of a tissue, wherein the sequence is sampled at at least one location of the tissue while the tissue is being thermally disturbed, deriving from the thermal data at least one tissue-related thermal variable associated with each of the tissue locations, segmenting the tissue into segments comprising the locations having corresponding the at least one thermal variable and generating an output indicating the tissue segments. The disclosure also includes a system and computer product for differentiating between tissue states or types.

A non-invasive system for calculating a human or animal score, the system including a measurement slave device constructed and arranged to carry out measurements of biological parameters; a measure slave device constructed and arranged to carry out measurements of physical parameters; a master device constructed and arranged to collect the biological and physical parameters and calculate the human or animal score, the score including biological and physical parameters.