Researcher
Tatiana Kouznetsova
- Disciplines:Cardiac and vascular medicine, Laboratory medicine, Medical systems biology, Public health care, Public health sciences, Public health services, Molecular and cell biology
Affiliations
- Hypertension and Cardiovascular Epidemiology (Division)
Responsible
From1 Jan 2022 → Today - Hypertension and Cardiovascular Epidemiology (Division)
Member
From19 Sep 2000 → Today
Projects
1 - 10 of 17
- Infrastructure for Targeted ProteomicsFrom1 Jan 2023 → TodayFunding: BOF - scientific equipment program
- Biomarkers affecting the transition from cardiovascular disease to lung cancer: towards stratified interception.From1 Dec 2022 → TodayFunding: Horizon Europe - Research Infrastructures
- Integrated computer modelling of cardiorespiratory fitness for personalised risk profiling and heart failure preventionFrom1 Oct 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Integrated computer modelling of cardiorespiratory fitness for personalised risk profiling and heart failure prevention (iCAREFIT)From1 Oct 2021 → TodayFunding: Fund Recuperation Fiscal Exemption, BOF - projects
- Computational Time Series Analysis for Cardiovascular Health and Cardiopulmonary Fitness ProfilingFrom21 Sep 2021 → TodayFunding: BOF - doctoral mandates
- PRIORITY -PeRsonalIzed remOtely guided preventive exeRcIse therapy for a healThY heartFrom1 Mar 2021 → 29 Feb 2024Funding: Own budget, for example: patrimony, inscription fees, gifts
- Personalized Remotely Guided Preventive Exercise Therapy for a Healthy Heart - the PRIORITY projectFrom1 Jan 2021 → TodayFunding: FWO Applied Biomedical Research (TBM)
- Integrative computer modeling of cardiorespiratory fitness for personalised profiling and prevention of early-stage heart failureFrom1 Oct 2020 → 30 Sep 2023Funding: FWO junior postdoctoral fellowship
- Defining the role of exercise testing and cardiac rehabilitation in the detection and prevention of early-stage heart failure: a roadmap to personalised profilingFrom1 Oct 2019 → 30 Sep 2020Funding: BOF - postdoctoral mandates
- Machine learning platform for better cardiovascular health assessment and risk stratificationFrom9 Sep 2019 → TodayFunding: FWO Strategic Basic Research Grant
Publications
11 - 20 of 283
- Unsupervised Time-Series Clustering of Left Atrial Strain for Cardiovascular Risk Assessment(2023)
Authors: Nicholas Cauwenberghs, Dmitry Kouznetsov, Piet Claus, Tatiana Kouznetsova
Pages: 778 - 787 - Personalized remotely guided preventive exercise therapy for a healthy heart (PRIORITY): protocol for an assessor-blinded, multicenter randomized controlled trial(2023)
Authors: Camille De Wilde, Youri Bekhuis, Tatiana Kouznetsova, Jomme Claes, Matthias Lannoo, Véronique Cornelissen
- Integrative Interpretation of Cardiopulmonary Exercise Tests for Cardiovascular Outcome Prediction: A Machine Learning Approach(2023)
Authors: Nicholas Cauwenberghs, Jomme Claes, Werner Budts, Kaatje Goetschalckx, Véronique Cornelissen, Tatiana Kouznetsova
- Defining left ventricular remodeling using lean body mass allometry: a UK Biobank study(2023)
Authors: Tatiana Kouznetsova, Nicholas Cauwenberghs
Pages: 989 - 1001 - Novel left ventricular mechanical index in pulmonary arterial hypertension(2023)
Authors: Tatiana Kouznetsova, Nicholas Cauwenberghs
- Immune biomarkers link air pollution exposure to blood pressure in adolescents (vol 19, 108, 2020)(2022)
Authors: Nicholas Cauwenberghs, Tatiana Kouznetsova
- Challenging Obesity and Sex Based Differences in Resting Energy expenditure Using Allometric Modeling, a sub-study of the DIETFITS Clinical trial(2022)
Authors: Tatiana Kouznetsova, Nicholas Cauwenberghs
Pages: 43 - 52 - Improving predictive performance in incident heart failure using machine learning and multi-center data(2022)
Authors: František Sabovčik, Nicholas Cauwenberghs, Tatiana Kouznetsova
- Time series clustering of left atrial strain curves for risk stratification in the general population(2022)
Authors: Nicholas Cauwenberghs, Tatiana Kouznetsova
Pages: 2312 - 2312 - Temporal shift and predictive performance of machine learning for heart transplant outcomes(2022)
Authors: Nicholas Cauwenberghs, Celine Vens, Tatiana Kouznetsova
Pages: 928 - 936