Connecting the Modern Potential of AI-Driven Gene Sequencing with the Ancient Indian Healthcare Knowledge of Suśruta

School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Faridabad, Haryana - 121002

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Abstract

This study examined the possibility of connecting the sage Suśruta’s surgical expertise to contemporary AI-integrated drug development, gene sequencing, and biomedical healthcare systems. The ancient Indian surgical systems, healthcare systems, disease diagnostic systems, cure systems, healthy living systems, drug design systems, and many more biomedical systems are provided in Suśruta Sanhitā. These days, AI models such as deep learning and machine learning are incredibly effective in drug discovery, gene sequencing, and disease diagnosis, among other areas. By looking for commonalities in observation, classification, and evidence-based reasoning among different systems, this study aims to establish a link. Yantras, Shatras, and Dhātu-s mimic tissue-specific expression, while Srotas align with biological signaling pathways and Tridoṣa reflects regulation. Information regarding disease susceptibility is provided by Prakṛti. With important ramifications for bioethics and global health justice, this interdisciplinary approach expands our knowledge of medical evolution and promotes culturally grounded genetic innovation.