AI-Driven Bio Innovation for Global Health Security: A Sustainable Precision Medicine Framework Integrating Big Data, Wearables, and Predictive Intelligence
Artificial intelligence (AI) is reshaping biomedical research and healthcare by making it possible to predict analytics and reasonable decision support, as well as personalized treatment. The development of big data, wearable sensors, and multi-omics models is transforming medicine away based on retrospective diagnosis and moved into predictive risk management. Nonetheless, the existing AI tools are yet to be integrated across data and clinical silos. The paper is a synthesis of interdisciplinary AI advances and suggests an AI-Bio Innovation Framework (AIBF). The structure combines wearable intelligence, clinical and genomic data, deep and generative learning, federated privacy preserving and sustainable computing. Compared to the benchmark diagnostic accuracy, diagnostic efficiency, and time-to-insight improvements show brisk improvements that believe in scalable precision medicine in line with the world sustainability targets.
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AI-Driven BioInnovation for Global Health: Integrating Big Data Analytics, Wearable Intelligence, and Predictive Modeling Toward Sustainable Precision Medicine
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(1) Tisha Farhana
Universiti Tun Hussein Onn Malaysia, Parit Raja, Johor Darul Ta'zim, Malaysia.
(2) Habibullah Faisal
Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Japan.
Cite this article
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APA : Farhana, T., & Faisal, H. (2022). AI-Driven Bio Innovation for Global Health Security: A Sustainable Precision Medicine Framework Integrating Big Data, Wearables, and Predictive Intelligence. Global Pharmaceutical Sciences Review, VII(I), 41-52. https://doi.org/10.31703/gpsr.2022(VII-I).06
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CHICAGO : Farhana, Tisha, and Habibullah Faisal. 2022. "AI-Driven Bio Innovation for Global Health Security: A Sustainable Precision Medicine Framework Integrating Big Data, Wearables, and Predictive Intelligence." Global Pharmaceutical Sciences Review, VII (I): 41-52 doi: 10.31703/gpsr.2022(VII-I).06
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HARVARD : FARHANA, T. & FAISAL, H. 2022. AI-Driven Bio Innovation for Global Health Security: A Sustainable Precision Medicine Framework Integrating Big Data, Wearables, and Predictive Intelligence. Global Pharmaceutical Sciences Review, VII, 41-52.
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MHRA : Farhana, Tisha, and Habibullah Faisal. 2022. "AI-Driven Bio Innovation for Global Health Security: A Sustainable Precision Medicine Framework Integrating Big Data, Wearables, and Predictive Intelligence." Global Pharmaceutical Sciences Review, VII: 41-52
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MLA : Farhana, Tisha, and Habibullah Faisal. "AI-Driven Bio Innovation for Global Health Security: A Sustainable Precision Medicine Framework Integrating Big Data, Wearables, and Predictive Intelligence." Global Pharmaceutical Sciences Review, VII.I (2022): 41-52 Print.
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OXFORD : Farhana, Tisha and Faisal, Habibullah (2022), "AI-Driven Bio Innovation for Global Health Security: A Sustainable Precision Medicine Framework Integrating Big Data, Wearables, and Predictive Intelligence", Global Pharmaceutical Sciences Review, VII (I), 41-52
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TURABIAN : Farhana, Tisha, and Habibullah Faisal. "AI-Driven Bio Innovation for Global Health Security: A Sustainable Precision Medicine Framework Integrating Big Data, Wearables, and Predictive Intelligence." Global Pharmaceutical Sciences Review VII, no. I (2022): 41-52. https://doi.org/10.31703/gpsr.2022(VII-I).06