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ISSN: 3048-5223
Recent advancements in nanotechnology and AI have led to the development of intelligent nanorobots for blood disease prevention and monitoring. This review examines the design, functionality, and applications of AI-driven nanorobots. Their architecture includes sensors, actuators, power sources, and communication systems for precise bloodstream navigation. Materials like graphene and gold nanoparticles ensure biocompatibility, with AI algorithms enhancing decision-making. Nanorobots autonomously navigate biological environments, detect biomarkers, and deliver targeted therapies accurately. Applications include cancer drug delivery with reduced toxicity and improved efficacy. Nanorobots also monitor cardiovascular health for early disease detection. They promise personalized medicine with optimized outcomes while reducing adverse effects. Challenges in moving from experiments to clinical use include regulatory and technological hurdles. Continued research is crucial for maximizing AI-powered nanorobots' potential in healthcare for precision blood disease management. In conclusion, AI-powered nanorobots represent a paradigm shift in disease management, offering unparalleled precision and functionality in preventing and monitoring blood-related diseases.