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A novel Bayesian framework reveals how to accurately infer RNA reaction dynamics from experimental data, potentially unlocking secrets of life's origins.
Turns out, you *can* differentiate through the Gillespie algorithm: machine learning gradient estimators unlock parameter inference in stochastic kinetic models where traditional methods fail.
