FEFU Int. Admission Office:
+7 (423) 265 24 24
(ext. 2209)
Tatyana A. Brodskaya
English proficiency - Fluent allows free communication and writing scientific articles
Scientific specialty for which a postgraduate student will be accepted
Clinical Medicine (Internal Medicine).
List of research projects:
Artificial intelligence technologies in phenotyping of tissue and systemic remodeling and predicting outcomes at the stages of development of chronic non-communicable diseases in people of different ethnic groups. State task of the Russian Federation (2020 - present)
10-year follow-up of patients with stomach cancer - diagnostic defects and dyspepsia as the earliest "alarming sign"; RADIUS study (2019-present)
Clinical and phenotypic variants and molecular genetic features of vascular aging in people of different ethnic groups (2017-present)
Artificial intelligence technologies in predicting the risk of cardiovascular and fatal events with in-depth phenotyping of a conditionally healthy population (2017-present)
“Prospective follow-up in 2015 of the vital status of a cohort of the population of Primorsky Krai previously examined under the program “Epidemiology of Cardiovascular Diseases and Their Risk Factors in Various Regions of the Russian Federation (ESSE-RF)” to assess the contribution of risk factors to mortality” (2013 - present)
"Creation of a system for assessing vascular dysfunction and predicting the degree of cardiovascular risk" (2014 - present)
Clinical trial - European registry "Chronic Ischemic Cardiovascular Disease (CICD) Long-Term Registry" (2017 -2020)
"Molecular genetic aspects of the development of systemic vascular dysfunction under the influence of the most common risk factors (arterial hypertension and smoking)" State task of the Russian Federation (2014 - 2020)
List of possible research topics:
Prediction of outcomes for the development of chronic non-communicable diseases (diseases of the cardiovascular system, respiratory system, other human organs and systems)
Assessment of risk factors for the development of chronic non-communicable diseases (diseases of the cardiovascular system, respiratory system, other human organs and systems)
Artificial intelligence technologies in predicting outcomes at the stages of development of chronic noncommunicable diseases
Comparative analysis of risk factors and pathogenesis of chronic diseases in people of different ethnic groups.
Artificial intelligence technologies in predicting the risk of cardiovascular and fatal events with in-depth phenotyping of a conditionally healthy population (without established chronic diseases)
Artificial intelligence technologies in phenotyping of tissue and systemic remodeling in chronic non-communicable diseases.
Molecular and genetic features of vascular aging and assessment of the contribution of risk factors to mortality
Analysis of the features of vascular aging and lung aging in individuals of different ethnic groups
Comprehensive assessment of vascular dysfunction and prediction of the degree of cardiovascular risk
Chronic Ischemic Heart Disease
Chronic obstructive pulmonary disease
Arterial hypertension
Risk factors for the development and prognosis of chronic diseases
Various aspects of tissue and vascular aging in chronic diseases
Scientific interests:
Prediction of outcomes for the development of chronic noncommunicable diseases
Assessment of risk factors for the development of chronic noncommunicable diseases
Artificial Intelligence Technologies in Predicting the Outcomes of Chronic Noncommunicable Diseases
Comparative analysis of risk factors and pathogenesis of chronic diseases in people of different ethnic groups.
Artificial intelligence technologies in predicting the risk of cardiovascular and fatal events
Artificial intelligence technologies in phenotyping of tissue and systemic remodeling in chronic non-communicable diseases.
Molecular genetic features of vascular aging
assessing the contribution of risk factors to mortality
Analysis of the features of vascular aging and lung aging in individuals of different ethnic groups
Comprehensive assessment of vascular dysfunction and prediction of the degree of cardiovascular risk
Chronic Ischemic Heart Disease
Chronic obstructive pulmonary disease
Arterial hypertension
diseases of the cardiovascular system, respiratory system
Risk factors for the development and prognosis of chronic diseases
Various aspects of tissue and vascular aging in chronic diseases
Research Highlights:
It is possible to use unique equipment for clinical trials
Interaction with foreign scientists
Financial support for research projects in the form of grants of various levels
Supervisor’s specific requirements:
Have a basic medical education.
Basic knowledge of English.
It is desirable to have the skills to analyze scientific data using the international databases WOS, SCOPUS, PUBMED and others.
It is desirable to have the skills of analyzing scientific data using statistical methods.
Skills in using a PC, basic programs for working with texts, data, presentations
Have a desire to acquire new knowledge, skills and results that are in demand in practical healthcare, improve the efficiency of modern diagnostics and treatment, help reduce disability and mortality in the population due to socially significant diseases, and contribute to modern medical science.