Disclosed is a liquid impinger, for example a liquid impinger, particularly a disposable liquid impinger. The liquid impinger comprises, for example, at least one nozzle positioned in the interior and attached to the bottom portion. In some aspects, the liquid impinger comprises a polymeric material. Also disclosed are methods of making the liquid impinger comprising, for example, forming at least two components, assembling the at least two components into the liquid impinger, filling the liquid impinger with liquid, and exposing the filled liquid impinger to radiation for sterilization prior to use. Also disclosed are methods of using the liquid impinger, for example, by transporting a gas comprising analytes through the liquid impinger and transferring at least a portion of the analytes from the gas into the liquid contained therein. The method further comprises, for example, after transferring analytes form the gas into the liquid, incubating and/or detecting at least a portion of the analytes in the liquid without removing the liquid from the liquid impinger.

A portable system is provided for measuring an analyte, such as acetone, in the breath or other bodily fluid of a user. The system includes a portable measurement device that analyzes fluid samples and generates corresponding measurements. The portable measurement device communicates with an application which runs on a smartphone or other mobile device of the user, and the application reports measurement data to a remote system.

A portable system is provided for measuring an analyte, such as acetone, in the breath or other bodily fluid of a user. The system includes a portable measurement device that analyzes fluid samples and generates corresponding measurements. The portable measurement device communicates with an application which runs on a smartphone or other mobile device of the user, and the application reports measurement data to a remote system.

A method and system for monitoring a user's intoxication including receiving a set of signals, derived from a set of samples collected from the user at a set of time points; providing a sobriety task to the user proximal to a time point of the set of time points; generating a performance dataset characterizing performance of the sobriety task by the user; receiving a supplementary dataset characterizing a demographic profile of the user and/or a physiological state of the user; determining a set of values of an intoxication metric, derived from the set of signals; generating a predicted temporal profile of the intoxication metric for the user based upon the set of values, the set of time points, and the supplementary dataset; generating an analysis of the user's sobriety based upon the performance dataset and the predicted temporal profile; and providing a notification to the user based upon the analysis.

A diagnostic device is disclosed for characterisation of particles from a patient's airways, such as a lung, when ventilated by a ventilator, and/or for control thereof, comprising a particle detecting unit configured to be connected to a conduit for passing expiration fluid from said patient, for obtaining data related to particles being exhaled from said patient's airways.

A diagnostic device is disclosed for characterisation of particles from a patient's airways, such as a lung, when ventilated by a ventilator, and/or for control thereof, comprising a particle detecting unit configured to be connected to a conduit for passing expiration fluid from said patient, for obtaining data related to particles being exhaled from said patient's airways.

Systems and methods are provided for detecting potentially fatal, and non-fatal diseases in an non-invasive, low-cost, and reliable manner by detecting the trace presence of volatile organic compounds (VOCs) in the human breath. The systems and methods can be home-based, non-invasive systems and methods for diagnosing CLD (chronic liver disease), CKD (chronic kidney disease), and other diseases using lifestyle-based, repetitive detection of VOCs in the human breath and an adaptive machine learning algorithm.

Systems and methods are provided for detecting potentially fatal, and non-fatal diseases in an non-invasive, low-cost, and reliable manner by detecting the trace presence of volatile organic compounds (VOCs) in the human breath. The systems and methods can be home-based, non-invasive systems and methods for diagnosing CLD (chronic liver disease), CKD (chronic kidney disease), and other diseases using lifestyle-based, repetitive detection of VOCs in the human breath and an adaptive machine learning algorithm.

Systems and methods are provided for reliably detecting aerosolized virus particles using electrochemical characteristics of the virus, and its interaction with π-conjugated conducting solid-state substrates.

Methods and systems are disclosed for the detecting of whether a subject has a lung disorder such as asthma, tuberculosis or lung cancer. Monitoring the subject's health and prognosis is also disclosed.