Exploring Biotechnological Solutions for Predictive System Health Monitoring

Abstract

The evolution of biotechnological solutions has opened new frontiers in predictive system health monitoring. As systems across industries become more complex and demanding, the need for intelligent, data-driven solutions to preemptively address potential failures has become critical. Biotechnology, traditionally applied in medicine and agriculture, is increasingly intersecting with artificial intelligence, bioinformatics, and sensor technologies to create predictive models for systems maintenance. This paper explores the integration of biotechnological techniques with predictive analytics in various industries, emphasizing the role of biosensors, bioinformatics, and synthetic biology in monitoring and preventing system breakdowns. We further discuss how biotechnological advancements could enhance sustainability, reduce operational costs, and prolong the lifespan of critical systems.