This disclosure describes a multiplexing, wireless, batteiyless multiplexing paper sensor. The sensor includes a polymeric, non-cellulosic substrate that includes a radio frequency (RF) wireless communication ultra-wide band (UWB) antenna and a sensing element disposed on the polymeric, non-cellulosic substrate with and without molecular imprinted structures to immobilize specific target chemical or biological objects. The sensor is powered when a signal is received by the RF wireless communication UWB antenna and then takes measurements of a medium being monitored by the sensor. Data corresponding to the measurements is then transmitted from the sensor via the RF wireless communication UWB antenna.

The types of cells that cannot be determined by use of a conventional scattergram are determined. The problem is solved by a cell analysis method for analyzing cells contained in a biological sample, by using a deep learning algorithm having a neural network structure, the cell analysis method including: causing the cells to flow in a flow path; obtaining a signal strength of a signal regarding each of the individual cells passing through the flow path, and inputting, into the deep learning algorithm, numerical data corresponding to the obtained signal strength regarding each of the individual cells; and on the basis of a result outputted from the deep learning algorithm, determining, for each cell, a type of the cell for which the signal strength has been obtained.

Embodiments described herein include methods and/or systems for updating a medical device. Embodiments include medical devices which are configured for updates in response to various events including connection of a peripheral device to the medical device, a user initiated event, or based on received recommendations.

An instrument for reading a lateral flow assay device by detecting color changes based on human perception includes an optics module having a camera, a signal processor, a storage memory and a comparator circuit. The storage memory has stored therein a dataset of sample readings of reference assay devices similar in structure and function to that of the lateral flow assay device. The sample readings are based on human visual perceptions of colorimetric changes in the detection zones of the reference assay devices. The comparator circuit compares the measured colorimetric data relating to the assay device read by the instrument with the stored database of sample readings based on human visual perceptions of the colorimetric changes of the reference assay devices, and generates a comparison signal which is provided to the signal processor. The signal processor generates a determination signal indicative of the presence, absence or quantity of an analyte.

The embodiments disclose a method including functionalizing a biosensor with a biologic analytical target prior to installation into a detection cartridge, depositing a test subject bodily fluid test sample onto the biosensor surface, inserting the detection cartridge into a portable detection cartridge reader, measuring the electrical impedance of the bodily fluid test sample across biosensor energized electrodes, providing algorithms for analyzing measured electrical impedance data of the bodily fluid test sample obtained in the detection cartridge, identifying and determining the presence of biologic analytical target molecules in the bodily fluid test sample, and transmitting results of the test results to the test subject.

Systems and methods are provided for improving nutritional element content estimates from one or more individuals and/or determining a therapy or treatment based on a nutritional element content estimate and improving diabetes management. The systems and methods include a therapy or treatment display based on at least one nutritional element content estimate and at least one proficiency index respectively assigned to an individual to improve accuracy and reliability when estimating nutritional element content in foods and/or therapy or treatment based therefrom.

A method of generating smear quality control information according to an embodiment may include: obtaining a plurality of image data from a plurality of smears, respectively; obtaining, from the plurality of image data, feature values each of which reflects a staining state of each smear; and generating quality control information based on the feature values.

Embodiments described herein include methods and/or systems for updating a medical device. Embodiments include medical devices which are configured for updates in response to various events including connection of a peripheral device to the medical device, a user initiated event, or based on received recommendations.

In an approach, a biomedical device comprises at least one electrode, wherein the at least one electrode is coupled with a computer chip; at least two chemical sensors, wherein the at least two chemical sensors are coupled with the computer chip; the computer chip, wherein the computer chip comprises: a semiconductor substrate, and a processor; a microfluidic structure, wherein the microfluidic structure is an inert elastomeric polymer; a power supply device coupled to the computer chip; and an antenna configured to send data collected onto the computer chip to a remote server. In an approach, a processor stimulating a cell sample. A processor senses the presence of at least two types of biomolecules released by the cell sample. A processor records data collected by the at least two chemical sensors. A processor sends the recorded data to a remote server.

The present disclosure provides methods of processing data provided by a transcutaneous or subcutaneous analyte sensor utilizing different algorithms to strike a balance between signal responsiveness accompanied by signal noise and the introduction of error associated with that noise. The methods utilize the strengths of a lag correction algorithm and a smoothing algorithm to optimize the quality and value of the resulting data (glucose concentrations and the rates of change in glucose concentrations) to a continuous glucose monitoring system. Also provided are systems and kits.