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In 2016, Nozaki and Nakamoto 3 developed a predictive model based on an artificial neural network with a deep structure, using mass spectra of chemicals to predict odor impressions with notable accuracy ( R 0.76)

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The cost of control with each intervention for each endpoint was calculated by dividing the annual treatment costs by the proportion of patients achieving each target (observed proportions of patients achieving targets at 26 weeks using data regardless of discontinuation and addition of rescue medication)

Patients with fibromyalgia display less functional connectivity in the brains pain inhibitory network

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