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Forecasting Without Full Identification: Reliability and Computational Cost in Clot-Growth Simulation
We forecast clot growth from sparse early measurements with incomplete biochemical information. Using 1,000 simulated trajectories, we compare inverse search, which weights candidate inputs by their agreement with early observations, with a direct multilayer perceptron (MLP) predicting future clot s
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