The convergence of bioinformatics, the Internet of Things (IoT), and machine learning represents a transformative approach in modern biological research. This paper explores the integration of IoT technologies in bioinformatics to facilitate real-time data acquisition and analysis using advanced machine learning algorithms. The proposed method leverages IoT devices for data collection and applies machine learning techniques to analyze genomic and proteomic data. Experimental results demonstrate significant improvements in data accuracy, processing speed, and predictive capabilities. The findings underscore the potential of IoT and machine learning to enhance bioinformatics research, offering new insights and applications in the field.