Scientists from Kuban State University, in collaboration with specialists from the Research Institute of the Regional Clinical Hospital No. 1, are working on a new method for the early detection of lung cancer. The development is based on the analysis of exhaled air composition using neural network algorithms.
The technology allows for the detection of pathological changes at the molecular level before the first symptoms of the disease appear. The method is being considered as a supplement to traditional screening tools, including computed tomography, and aims to improve the effectiveness of early diagnosis.
About 70% of lung cancer cases in Russia are diagnosed at late stages, when treatment is less effective. The use of AI could change the situation in favor of more timely detection of the disease.
The main risk factor for respiratory tract oncology, as emphasized by the specialist, remains smoking. Quitting tobacco remains a key element of prevention.
Despite a 17% decrease in lung cancer mortality over the past two decades, scientists insist on the need for further development of screening programs and diagnostic technologies.
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