Converging Artificial Intelligence, Big Data, and Biotechnology: A Transformative Framework for Next-Generation Drug Discovery and Global Health Intelligence

Abstract

Global health and pharmaceutical innovation are undergoing a radical shift due to the convergence of biotechnology, wearable health devices, big data analytics, and artificial intelligence (AI). This article summarizes four core studies: biotechnology-driven strategy models for global competitiveness, wearables for real-time cardiovascular disease monitoring, AI-based drug discovery, and big data frameworks for AMR surveillance. Together, these studies show how biotechnology frameworks, generative algorithms, and predictive analytics may improve preventative healthcare, accelerate drug discovery, and strengthen global health security. Supported by more than 30 scientific publications, this article offers a comprehensive conceptual framework for next-generation pharmaceutical innovation that integrates biomedical data streams, computational intelligence, and biotechnology market strategies. The findings highlight the need for strategic policymaking, ethical governance, and interdisciplinary cooperation to transform technological breakthroughs into long-term global health solutions.