HYBRID EVENT: You can participate in person at Rome, Italy or Virtually from your home or work.

3rd Edition of International Heart Congress

June 05-07,2025 | Hybrid Event

June 05 -07, 2025 | Rome, Italy
Heart Congress 2025

Unraveling cardiovascular dynamics: Kinetic modeling using heart function as an input variable in physiological systems

Tahmineh Azizi, Speaker at Cardiovascular Diseases Events
Florida State University, United States
Title : Unraveling cardiovascular dynamics: Kinetic modeling using heart function as an input variable in physiological systems

Abstract:

Kinetic modeling is an essential method in understanding the dynamic interactions of biological systems, particularly in the context of cardiovascular physiology. This study delves into the application of kinetic modeling to elucidate the heart's function as a critical input variable in metabolic and regulatory processes. By integrating cardiovascular parameters such as heart rate, cardiac output, and stroke volume into a comprehensive kinetic framework, we investigate the heart's role in maintaining homeostasis and its implications for systemic health. Utilizing experimental data and advanced modeling techniques, we present a novel approach that captures the intricate relationships between heart dynamics and metabolic pathways. Our findings reveal that kinetic models, when driven by real-time heart data, offer significant insights into the physiological responses to various stimuli, including exercise and pharmacological interventions. Furthermore, we demonstrate the potential of these models in clinical applications, such as predicting heart disease progression and guiding therapeutic strategies. This research underscores the importance of the heart as a central element in kinetic modeling and highlights its potential to enhance our understanding of complex biological systems and improve patient outcomes.

Biography:

Tahmineh Azizi is a highly innovative and accomplished researcher with extensive understanding and more than eight years’ experience of presentations, development of novel models and tools, and computational analysis to quantitatively bridge the gap between in-vitro experiments and in-vivo endpoints. Her research has been directed towards areas including mathematical biology, dynamical systems theory, computational analysis, mathematical modeling, statistical modeling, Neuroscience, epidemiological models, topological data analysis, fractional calculus and fractal geometry, multiscale modeling.

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