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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>Kottakkal Journal of Ayurvedic Medicine And Research</journal-title>
        <abbrev-journal-title abbrev-type="publisher">KJAMR</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">3107-4057</issn>
      <publisher>
        <publisher-name>Sri. Neelakandan A. N.</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.64541/KJAMR.Vol2.Iss1.61</article-id>
      <article-id pub-id-type="publisher-id">kjamr-00000061</article-id>
      <title-group>
        <article-title>AYURVEDA AND NEW BIOLOGY: INTEGRATING ANCIENT WISDOM AND MODERN SCIENCE</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>R</surname>
            <given-names>Sudhakaran P</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>V</surname>
            <given-names>Divya M</given-names>
          </name>
          <xref ref-type="aff" rid="aff2"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>V</surname>
            <given-names>Rajmohan</given-names>
          </name>
          <xref ref-type="aff" rid="aff2"/>
        </contrib>
      </contrib-group>
      <aff id="aff1">Department of Computational Biology and Bioinformatics, University of Kerala, Thiruvananthapuram, India</aff>
      <aff id="aff2">Department of Rasasastra and Bhaishajya Kalpana, Government Ayurveda College, Thiruvananthapuram, India</aff>
      <pub-date pub-type="epub" iso-8601-date="2026">
        <year>2026</year>
      </pub-date>
      <volume>2</volume>
      <issue>1</issue>
      <abstract>
        <p>
Ayurveda, with its emphasis on Prakriti (individual constitution), Tridosha (functional principles), Rasayana (rejuvenation), and lifestyle-based prevention, provides a time-tested framework for personalised and preventive healthcare. In parallel, New Biology, empowered by high-throughput omics technologies, epigenetics, systems biology and network pharmacology offer novel tools to decode biological complexity at multiple scales. This article examines how emerging research in new biology and Ayurveda, is integrating empirical traditions with molecular science by translating traditional views into quantifiable biological correlates. The promise of network pharmacology to reveal the synergistic mechanisms of polyherbal formulations, multi-omics techniques to examine Prakriti and systems modelling to predict health and disease dynamics are discussed. Together, Ayurveda and New Biology form the basis for predictive, preventive and personalised medicine. This approach suggests a scientifically coherent and sustainable model that advances Ayurveda into a data-driven, evidence-based discipline, bridging traditional principles with precision medicine.</p>
      </abstract>
      <kwd-group kwd-group-type="author">
        <kwd>Ayurveda</kwd>
        <kwd>New Biology</kwd>
        <kwd>Systems biology</kwd>
        <kwd>Ayurgenomics</kwd>
        <kwd>Holistic health</kwd>
        <kwd>Network pharmacology</kwd>
      </kwd-group>
    </article-meta>
  </front>
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