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16:52, 14 March 2026
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Students at Far Eastern Federal University Develop AI System to Predict Asthma Flare-Ups

The technology aims to identify patterns associated with asthma more accurately and warn about potential exacerbations.

Photo: Press Service of FEFU

Students at Dalnevostochnyy federalnyy universitet (Far Eastern Federal University, FEFU) have developed an artificial intelligence system designed to predict the risk of bronchial asthma flare-ups. Three future IT specialists won first place at the nationwide conference Natsionalnoye dostoyaniye Rossii (National Heritage of Russia) in Moscow and received medals “For Scientific Work.” The university’s press service reported the achievement to IT Russia.

Developed With Medical Researchers

FEFU is implementing a large-scale research project in which the university works with medical specialists to develop systems capable of predicting dangerous health conditions. Konstantin Korobov, Anton Legkiy, and Stepan Molchanov from the Institute of Mathematics and Computer Technologies at FEFU were the only representatives from Russia’s Primorye region in the conference finals, which brought together more than 1,400 participants from across the country. Their academic supervisor, Anatoly Yakovlev, received a distinction for mentoring the winning team. The research is being conducted in collaboration with the Vladivostok Institute of Medical Climatology and Rehabilitative Treatment.

Each student worked on a different aspect of the project. Stepan Molchanov developed a method for correctly restoring missing entries in medical datasets, helping neural networks train on reliable samples. Anton Legkiy demonstrated that standard tests should be supplemented with data from deep respiratory diagnostics, specifically body plethysmography. This approach allows researchers to identify patterns characteristic of asthma patients more accurately. Konstantin Korobov compared several methods of preprocessing data and identified the most effective approaches for medical analytics.

Detecting Weather Conditions Dangerous for Asthma Patients

According to Anatoly Yakovlev, preparing the project for the competition required several months of intensive work.

“The students consistently refined their projects, clarified calculations, analyzed data, and improved their presentations. As a result, they delivered high-quality scientific studies and gained valuable experience in independent research and scientific communication,” Yakovlev said.

In the future, the development could help create a system that automatically warns patients and emergency services when weather conditions dangerous for asthma sufferers are approaching.

Earlier reports noted that Russian scientists have also developed an AI-powered device designed to assist asthma patients.


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