2014
DOI: 10.1504/ijsse.2014.064836
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The control systems engineering foundation of traditional Indian medicine: the Rosetta Stone for Siddha and Ayurveda

Abstract: This paper uncovers the scientific foundation of traditional systems of Indian medicine: Siddha and Ayurveda, from core principles shared in modern control systems engineering. Grand challenges of modern healthcare are motivating a paradigm shift towards systems of systems (SoS) approaches. The recent emergence of modern systems biology and the concomitant growth of evidence-based research in ancient systems of holistic medicine such as Siddha and Ayurveda, practiced in India for over 5,000 years, exemplify th… Show more

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Cited by 2 publications
(2 citation statements)
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References 76 publications
(71 reference statements)
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“…Reductionist thinking and the central dogma theory of Watson and Crick [48] had emphasized that genes alone are what make us who we are [49]. Systems biology rose in response to this reductionism and focuses attention not on just on one part, such as the genome, but on the complex interaction of systems of systems across genes, proteins, and complex molecular pathways, which are all influenced by an epigenetic layer [50] affected by both endogenous and exogenous systems including nutrition, environment, and perhaps, even thoughts [30].…”
Section: Systems Biologymentioning
confidence: 99%
See 1 more Smart Citation
“…Reductionist thinking and the central dogma theory of Watson and Crick [48] had emphasized that genes alone are what make us who we are [49]. Systems biology rose in response to this reductionism and focuses attention not on just on one part, such as the genome, but on the complex interaction of systems of systems across genes, proteins, and complex molecular pathways, which are all influenced by an epigenetic layer [50] affected by both endogenous and exogenous systems including nutrition, environment, and perhaps, even thoughts [30].…”
Section: Systems Biologymentioning
confidence: 99%
“…These may involve a multi-layered, hierarchical approach, wherein the overall signaling network, at one layer, is modeled in terms of effective "circuit" or "algorithm" modules [30], and then at other layers, each module is correspondingly modeled with more detailed incorporation of its actual underlying biochemical/biophysical molecular interactions [63]. The mammalian cell may be considered as a central signaling network connected to various cellular machines that are responsible for phenotypic functions.…”
Section: Computational Systems Biology: Modeling Molecular Systemsmentioning
confidence: 99%