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WHO Applauds India’s AI Integration in Traditional Medicine

Why in NEWS

The World Health Organization (WHO) released a technical brief recognizing India’s leadership in applying Artificial Intelligence (AI) to traditional medicine systems like Ayurveda, Siddha, Unani, Sowa-Rigpa, and Homeopathy, highlighting India’s digital health innovations under its ‘AI for All’ vision.

Key Terms and Concepts

TermExplanation
AyurgenomicsA fusion of Ayurveda and genomics that helps personalize treatment and predict disease susceptibility.
TKDLTraditional Knowledge Digital Library – India’s digital database to protect traditional medicinal knowledge from biopiracy.
Ayush GridA digital platform that enables AI-backed services in traditional medicine, developed by the Ministry of AYUSH.

Key AI-Driven Initiatives Recognized by WHO

InitiativeDetails
AyurgenomicsCombines ancient Ayurvedic principles with genetic data for precision medicine.
TKDL (since 2001)Prevents misappropriation of traditional remedies by documenting and digitizing formulations in multiple languages.
Ayush GridProvides centralized AI-driven tools like:
  • SAHI (Showcase of Ayurvedic Historical Imprints)
  • NAMASTE (Standardized electronic records for morbidity)
  • AYUSH Research Portals for evidence-based research. |

How AI Is Used in Traditional Medicine

Application AreaAI Contribution
Drug Action MappingIdentifies how herbs and compounds affect biological systems.
Taste and Potency AnalysisUses sensors and algorithms to analyse Rasa (taste), Guna (properties), and Virya (potency).
Personalized TreatmentPredicts patient-specific outcomes using Ayurvedic typologies and genetic profiles.

In a Nutshell

Mnemonic: A.I.-H.E.A.L.
Ayurgenomics blends genes with Ayurveda
India leads in innovation and digitization
Herbal potency mapped by AI
Evidence-driven Ayush Grid
AI-sensor tools for traditional properties
Library TKDL guards ancient knowledge

Prelims Practice Questions

1. What is the primary aim of the Traditional Knowledge Digital Library (TKDL)?
A. Promote Ayurveda in rural areas
B. Archive ancient scripts in museums
C. Prevent patenting of traditional knowledge by documenting formulations
D. Fund startups using herbal medicine

2. Which AI-based initiative helps personalize health care by combining genomics with Ayurveda?
A. Ayush Grid
B. Ayurgenomics
C. SAHI
D. NAMASTE

3. NAMASTE under the Ayush Grid is designed to:
A. Promote yoga tourism
B. Archive ancient Ayurvedic texts
C. Standardize morbidity and terminologies in AYUSH systems
D. Build hospitals in rural areas

Prelims Answers and Explanations

QnAnswerExplanation
1CTKDL documents traditional formulations to prevent wrongful international patents.
2BAyurgenomics combines Ayurveda with genomics for personalized medicine.
3CNAMASTE is aimed at standardizing AYUSH morbidity data and medical terms.

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