FUTURE SCOPE AND STRATEGIES TO CONSERVE AND PROPAGATE AYURVEDA HEALTHCARE : A FUTURITISTIC REVIEW

Ayurveda, one of the oldest systems of healthcare, continues to gain prominence worldwide due to its holistic approach to health, disease prevention, and wellness. Despite its rich historical legacy, the modern era presents both challenges and opportunities for its conservation and propagation. This review explores the future scope of Ayurveda, focusing on the integration of ancient wisdom with contemporary scientific advancements. Key strategies for the preservation and dissemination of Ayurvedic knowledge include the standardization of practices, validation through clinical research, digitalization of traditional texts, and collaboration with modern healthcare systems. Additionally, efforts to address the gaps in education, training, and regulatory frameworks are crucial for enhancing the credibility and global acceptance of Ayurveda. The article also examines the role of technology, such as artificial intelligence and biotechnology, in supporting personalized Ayurvedic therapies. Finally, a vision for Ayurveda’s role in global healthcare, emphasizing sustainability, preventive care, and individualized treatments, is discussed. The future of Ayurveda lies in its ability to adapt to modern healthcare needs while preserving its traditional principles, ensuring its continued relevance and impact on global health.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-15
DOI
https://doi.org/10.5281/zenodo.15592924
Primary Topic
Parasitic Infections and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FUTURE SCOPE AND STRATEGIES TO CONSERVE AND PROPAGATE AYURVEDA HEALTHCARE : A FUTURITISTIC REVIEW

Zenodo (CERN European Organization for Nuclear Research)
Parasitic Infections and Diagnostics
article

FUTURE SCOPE AND STRATEGIES TO CONSERVE AND PROPAGATE AYURVEDA HEALTHCARE : A FUTURITISTIC REVIEW

article en

Abstract

Ayurveda, one of the oldest systems of healthcare, continues to gain prominence worldwide due to its holistic approach to health, disease prevention, and wellness. Despite its rich historical legacy, the modern era presents both challenges and opportunities for its conservation and propagation. This review explores the future scope of Ayurveda, focusing on the integration of ancient wisdom with contemporary scientific advancements. Key strategies for the preservation and dissemination of Ayurvedic knowledge include the standardization of practices, validation through clinical research, digitalization of traditional texts, and collaboration with modern healthcare systems. Additionally, efforts to address the gaps in education, training, and regulatory frameworks are crucial for enhancing the credibility and global acceptance of Ayurveda. The article also examines the role of technology, such as artificial intelligence and biotechnology, in supporting personalized Ayurvedic therapies. Finally, a vision for Ayurveda’s role in global healthcare, emphasizing sustainability, preventive care, and individualized treatments, is discussed. The future of Ayurveda lies in its ability to adapt to modern healthcare needs while preserving its traditional principles, ensuring its continued relevance and impact on global health.

Zenodo (CERN European Organization for Nuclear Research)
Gujarat Ayurved University (IN), Desh Bhagat Ayurvedic College and Hospital (IN), Noguchi Hospital (JP)
Openalex Percentile: Top 57%
Parasitic Infections and Diagnostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.