Associate Director Bristol-Myers Squibb Princeton, New Jersey
Presentation Description: Heart failure occurs when your heart doesn’t pump out enough blood. A physiological quantitative systems pharmacology (QSP) model of heart failure is developed to address the underlining mechanism of heart failure, especially heart failure with reduced ejection fraction (HFrEF). The heart failure QSP model translates existed biological and clinical understanding of general physiology states and disease states of heart failure. The model as an innovative pilot can simulate cardiovascular system interacting with neuro-hormonal control systems, respiratory system, and kidney function of a normal subject or heart failure patient. In addition, the model results include but not limited to continuous hemodynamics physiological process, biochemical signaling pathway dynamics responding to the treatment, and individual variabilities through individual virtual patient simulations, and multiple virtual clinical trials. These applications not only provide tremendous physiological insights to the clinical drug development team, also play significant role in clinical study design and decision making.
to exchange ideas and recent results related to research in Quantitative Systems Pharmacology modeling and its applications
to foster new ties, interaction and collaboration between mathematicians and bio-pharmacologists for the applications of Quantitative Systems Pharmacology.
to catalyze the development of mathematical models that can effectively utilize current computational capabilities to advance Quantitative Systems Pharmacology modeling and simulation in Biopharma.