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Machine learning algorithms with network-based computational models for example can be applied to search for response patterns among specific natural supplements in a broadly-based patient population, forecast synergy or antagonism of action with contemporary standard therapies and stratify patients according to molecular/metabolic signatures as the basis of a precision nutraceutical oncology

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( Reference Fukada, Shimada and Morita 33 ) showed the hypohomocysteinaemic effect of glycine and serine in animals loaded with an excess of methionine