  Dynamics between key neuroinflammatory components, detrimental M1 and
beneficial M2 microglial cells, are not fully understood post-ischemic stroke.
To discover, model, and predict these dynamics, we use a method based on sparse
identification of nonlinear dynamics (SINDy). The resulting data-driven
dynamical system involves constant and linear terms but does not include
nonlinear interactions between cells. Results show M2 microglial cell dominance
of four days. Forward predictions capture potential long-term dynamics of
microglial cells and suggest a persistent inflammatory response.
