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INSPIRE develops a framework to analyze and control uncertain biological and epidemiological systems. It integrates structural, robust, and probabilistic methods to understand and manipulate system behaviors, aiming to improve predictions and interventions in health-related phenomena.
Systems in nature are extremely robust, despite huge uncertainties and variability.
Studying their nonlinear dynamic behaviour is challenging, due to their complexity and the many parameters at play, but crucial to understand important phenomena, such as cellular dynamics, onset of diseases, epidemic spreading.Parameter-dependent simulations can predict the behaviour of natural systems case by case.
Yet, the exact models and parameter values are poorly known, while qualitative behaviours are oft…
UNIVERSITA DEGLI STUDI DI TRENTO
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