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.