The Laboratory of Artificial Intelligence in Preventive Medicine is a research unit of the Artificial Intelligence Research Center at the Institute of Information Technology, Mathematics and Mechanics of Lobachevsky University (UNN). The Laboratory applies artificial intelligence methods to tasks of assessing human health, predicting diseases, and studying the mechanisms of aging.

Research Areas

The laboratory's researchers use AI methods to search for immunoinflammatory markers and to develop approaches for assessing biological age based on cytokine profiles. One significant outcome has been the compilation of a collection of epigenetic data from more than 30 countries, as well as an investigation of a global map of accelerated aging.[1] A central focus of scientific interest is the mechanisms of immunoinflammatory aging (inflammaging), an understanding of which allows for more accurate assessment of the body's condition and prediction of disease development.[1]

Laboratory specialists participated in the development of a hybrid quantum-classical neural network for the automatic detection of brain tumors in MRI scans, presented in September 2026. In tests on open databases, the system identified the presence of a tumor with an accuracy of up to 98%.

Authority

The laboratory is headed by Associate Professor Mikhail Ivanchenko, who also serves as Deputy Director of the UNN Institute of Aging Biology.[1] In September 2024, he presented the laboratory's findings at the global Ecumene forum in a session dedicated to health, active longevity, and the sustainability of the healthcare system.[1]

Links

Sources

  1. itmm.unn.ru — Mikhail Ivanchenko, head of the Laboratory of Artificial Intelligence in Preventive Medicine, took part in the Ecumene forum — Institute of Information Technology, Mathematics and Mechanics (archive)
Materials from articles used (1)

UNN Hybrid Quantum-Classical Neural Network for Brain MRI Analysis