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In precision medicine, there has been a paradigm shift, from a population average based one-size-fits all, to an individualized approach. The aim is to tailor a medicine according to an individual’s genetic make-up and response to drug, diet, and environment. Machine learning algorithms are being developed to dissect inter-individual variability in the population. This is more important for prevention of diseases in healthy individuals and early actionable interventions. In Ayurveda, the basic t

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ekpyrosis
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