The disclosed embodiments relate to system, method and apparatus for forming ML sessions so that an AI system can identify, track and diagnose a user through the user's bathroom sessions. As used herein, a session is a period of time during which a user is active in the toilet. The session may include certain inactivity if such inactivity lasts only for a predefined duration. In an exemplary embodiment, a system is configured to capture images of excreta and, using ML algorithms, classifies the toileting session using Digital Biomarkers (DBMs). The ability to create an excreta log to accurately deliver detailed information to doctors and healthcare providers can revolutionize healthcare by notifying when further urine or fecal screening is necessary. The disclosed embodiments of ML and image identification through AI requires no user behavior change and provides a link between medical records and specific excreta patterns.

An oral care device for placement in the oral cavity. The oral care device may include a support component, a piezoelectric component, and/or sensor and/or a therapeutic element. The support component is configured for placement between one or more maxillary teeth and one or more mandibular teeth. The piezoelectric element is configured to generate electrical energy from relative movement of the maxillary teeth and the mandibular teeth. The sensor is configured to sense a condition in the oral cavity. The therapeutic element is configured to release a therapeutic into the oral cavity. The device may include any one or any combination of the piezoelectric component, the therapeutic element, and the sensor.

Detection devices, systems, and methods include those for detecting analytes (e.g., volatile organic compounds (VOCs) and/or other chemical substances) from a target area of a subject's anatomy (e.g., a subject's skin, a wound on a subject, etc.). In some cases, a detector may have a detecting component that includes an analyte sensitive material applied to a substrate. The detector may be used with a pump. The detector may include a hydrophobic, gas permeable material configured to limit liquid reaching the analyte sensitive material, while allowing analytes in gaseous fluid to reach the analyte sensitive material.

A gas detection system for gynecological disease detection and a detection method using the same are provided. The gas detection system is configured to detect an analyte from a female vagina and includes: a main body, a sleeve, a detection module, a pump, and a control module. The main body includes a body portion and a head portion having an intake channel. The body portion includes a detection chamber and an exhaust channel. The detection module includes at least one sensor configured to detect at least one target of the analyte and produce at least one detection signal. The pump is communicated with the detection chamber and the exhaust channel. The control module includes a processing unit and a first communication unit. The processing unit receives the at least one detection signal and controls the first communication unit to send the at least one detection signal.

Provided is a biomonitoring device that measures a parameter of a material expelled during use of a toilet by a user. Also provided is a biomonitoring mirror device that identifies a user, detects a febrile illness in a user, dispenses medications/supplements, connects to electrical device accessories in the bathroom, and provides an interactive user interface. Additionally provided is a system for measuring a parameter of a material expelled during use of a toilet by a user. Further provided is a method of determining a physiological parameter of a user.

In order to objectively grasp a stress state of a user and to prevent postpartum depression, biological gas information is acquired via a network, where the biological gas information indicates a concentration of ethylene glycol of the user and is obtained by a sensor that detects ethylene glycol released from a skin surface of the user. From a memory storing information including an upper limit of a normal range of the concentration of ethylene glycol per unit period, the information indicating the upper limit of the normal range is read out. When a frequency in the unit period with which the concentration of ethylene glycol of the user exceeds the upper limit of the normal range is determined to have an increasing tendency based on the biological gas information obtained during a pregnancy period of the user, the information related to stress of the user is output to an information terminal of the user.

A method of analysis using mass spectrometry and/or ion mobility spectrometry is disclosed comprising: (a) using a first device to generate smoke, aerosol or vapour from a target in vitro or ex vivo cell population; (b) mass analysing and/or ion mobility analysing said smoke, aerosol or vapour, or ions derived therefrom, in order to obtain spectrometric data; and (c) analysing said spectrometric data in order to identify and/or characterise said target cell population or one or more cells and/or compounds present in said target cell population.

Provided is a biomonitoring device that measures a parameter of a material expelled during use of a toilet by a user. Also provided is a biomonitoring mirror device that identifies a user, detects a febrile illness in a user, dispenses medications/supplements, connects to electrical device accessories in the bathroom, and provides an interactive user interface. Additionally provided is a system for measuring a parameter of a material expelled during use of a toilet by a user. Further provided is a method of determining a physiological parameter of a user.

A method of analysis using mass spectrometry and/or ion mobility spectrometry is disclosed. The method comprises: using a first device to generate smoke, aerosol or vapour from a target comprising or consisting of a microbial population; mass analysing and/or ion mobility analysing said smoke, aerosol or vapour, or ions derived therefrom, in order to obtain spectrometric data; and analysing said spectrometric data in order to analyse said microbial population.

A method of analysis using mass and/or ion mobility spectrometry or ion mobility spectrometry is disclosed comprising: using a first device to generate aerosol, smoke or vapour from one or more regions of a first target of biological material; and mass and/or ion mobility analysing and/or ion mobility analysing said aerosol, smoke, or vapour, or ions derived therefrom so as to obtain first spectrometric data. The method may use an ambient ionisation method.