Oriented on making people closer

Russian engineers have developed a novel, unique device: a detector capable of identifying common lung pathologies, such as asthma, COPD, and other diseases, in just one minute. The primary feature of this instrument is its utilization of machine learning algorithms to analyze breath, enabling it to predict patient exacerbations and provide personalized recommendations.

This "smart" detector operates significantly faster and provides more comprehensive data than conventional measuring devices. Unlike the latter, it does not merely display numerical values; instead, it generates a detailed report with easily understandable graphs and metrics within a minute. The device is equipped with precise sensors, including spirometers, and sensors for measuring CO2, temperature, humidity, and even breath sounds, ensuring a comprehensive analysis. According to the project's developers, this is the world's first breath detector capable of learning and improving diagnostic accuracy.

This innovation will offer tangible benefits to both physicians and patients. Specialists will gain an accurate tool for rapid diagnosis during consultations, reducing the need for additional examinations. Patients, conversely, will be able to monitor their condition at home, thereby mitigating the risk of complications. In the long term, such devices are expected to reduce healthcare expenditures for chronic lung diseases nationwide. Similar systems are already successfully implemented globally, for instance, in Samsung's Galaxy AI smartphones and Apple's Playground application, underscoring the relevance of this technological direction.

Currently, a prototype of the device has been completed, laboratory and initial pilot studies have been conducted, and a patent has been secured. Future plans include clinical trials with Sechenov University, registration with Roszdravnadzor, and subsequent launch of mass production for clinics and telemedicine services. Experts, however, caution that while the device is an important supportive tool, it does not negate the necessity of interaction with treating physicians and is not intended for self-medication.

ORIENT

Photo: National Technology Initiative