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Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.
Technologies directed quantum spectroscopy and imaging with Raman and surface-enhanced Raman scattering are described.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.