vestimИзвестия Национальной академии наук Беларуси. Серия медицинских наукProceedings of the National Academy of Sciences of Belarus, Medical series1814-60232524-2350The Republican Unitary Enterprise Publishing House "Belaruskaya Navuka"10.29235/1814-6023-2023-20-3-236-242vestim-929Research ArticleКЛИНИЧЕСКАЯ И ЭКСПЕРИМЕНТАЛЬНАЯ МЕДИЦИНАCLINICAL AND EXPERIMENTAL MEDICINEГенеалогическая диагностика новообразований на основе систем искусственного интеллектаGenealogical diagnostics of neoplasms based on artificial intelligence systemshttps://orcid.org/0000-0002-1348-8688КузнецовО. Е.KuzniatsouA. E.

Кузнецов Олег Евгеньевич –   кандидат биологических наук, доцент, директор.

пл. Антония Тызенгауза, 7, 230012, Гродно

Aleh E. Kuzniatsou – Ph. D. (Biol.), Associate Professor, Director, Institute of Biochemistry of Biologically Active Compounds of the National Academy of Sciences of Belarus.

7, Antonii Tyzengauz Sq., 230012, Grodno

olegkuznetsov@inbox.ruИнститут биохимии биологически активных соединений НАН БеларусиInstitute of Biochemistry of Biologically Active Compounds of the National Academy of Sciences of Belarus202302092023203236242Copyright © Кузнецов О.Е., 20232023Кузнецов О.Е.Kuzniatsou A.E.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://vestimed.belnauka.by/jour/article/view/929

Составление и анализ родословных – один из методов популяционной генетики, позволяющий выявить предрасположенность к той или иной онкологической патологии. В настоящее время актуальным является доказательство целесообразности разработки и внедрения в клиническую практику комплексного метода диагностики и профилактики опухолей на основе данных генетического консультирования, молекулярно-биологических исследований и современных технологий искусственного интеллекта. Предложена информационно-аналитическая система, позволяющая анализировать данные пациента, полученные в ходе консультирования, с возможностью дополнения их информацией из медицинской истории и результатами исследования. Предлагаемая информационная система способна анализировать родословную и давать предварительное заключение о наличии риска возникновения опухолевого процесса у членов семьи пациента по алгоритмам накопленной в регионе заболеваемости.

The compilation and analysis of the patient’s genealogies is one of the methods of population genetics, which makes it possible to identify a predisposition to a particular oncological pathology. At present, it is relevant to prove the feasibility of developing and introducing into clinical practice a comprehensive method for diagnosing and preventing tumors based on data from genetic counseling, molecular biological research and modern artificial intelligence technologies. An information-analytical system is proposed that allows analyzing the patient’s data obtained during the consultation, with the possibility of supplementing them with information from the medical history and the results of the study. The proposed information system is able to analyze of the genealogy and give a preliminary conclusion about the risk of a tumor process in the patient’s family members, according to the algorithms of the morbidity accumulated in the region.

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The authors declare that there are no conflicts of interest present.