Singh, Dikchha and Pandey , Bhanu and Pandey, Jai Krishna and Raina, A. K. (2026) Advancing management of mining-related lung diseases: Synergies between nutraceuticals and artificial intelligence. PharmaNutrition, 36.

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Abstract

Mining-related occupational lung diseases remain a major global health burden, with occupational exposures such as coal mining dust exacerbating their incidence and severity. While conventional pharmacotherapies remain essential, their long-term efficacy is often constrained by adverse effects and a diminishing therapeutic response. Nutraceuticals, encompassing phytochemicals, probiotics, prebiotics, omega-3 fatty acids, vitamins, and trace elements, are emerging as promising adjuncts that offer antioxidant, anti-inflammatory, and immunomodulatory benefits, directly targeting the molecular mechanisms underlying respiratory pathology. Concurrently, advances in artificial intelligence (AI) have redefined disease management and therapeutic innovation. Machine learning, deep learning, and large language models (LLMs) now accelerate nutraceutical discovery and optimization through metabolomics integration. These computational tools not only predict bioactive compound efficacy but also facilitate biomarker identification, early diagnosis, and personalized treatment design. Clinical applications, ranging from convolutional neural network (CNN)-powered imaging diagnostics and AI-enabled wearable monitoring to ChatGPT-like LLMs, may assist clinicians by summarizing records or providing literature-informed suggestions, thereby improving respiratory care. However, these systems should be considered adjunctive, and their use requires careful validation, clinician oversight, and bias mitigation. This review uniquely bridges nutraceutical science with AI-enabled innovation, highlighting their synergistic potential to overcome the limitations of conventional therapies. By integrating molecular insights, digital intelligence, and clinical applications, the nutraceutical-AI alliance paves the way for predictive, preventive, and personalized respiratory medicine. Future research must now prioritize clinical validation, ethical governance, and multi-omics integration to translate this transformative paradigm into sustainable global healthcare.

Item Type:	Article
Uncontrolled Keywords:	NutraceuticalRespiratory disorderArtificial intelligenceMachine learningMetabolomics
Subjects:	Envieronmental Management Group
Divisions:	UNSPECIFIED
Depositing User:	Mr. B. R. Panduranga
Date Deposited:	28 Apr 2026 09:34
Last Modified:	28 Apr 2026 09:34
URI:	https://cimfr.csircentral.net/id/eprint/2980

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