Artificial Intelligence and Electrical & Electronics Engineering: AIEEE Open Access
Real-Time Diagnosis of Hematologic Disorders via DNA-Graphene-Isotope Biosensors with AI Feedback Integration
Abstract
Chur Chin
Real-time diagnosis of hematologic disorders has long been a clinical challenge due to limitations in the temporal and spatial resolution of conventional diagnostics. Here we propose a novel biosensor platform based on DNA–graphene– radioisotope hybrid nanostructures, embedded in the vascular or lymphatic systems and wirelessly linked to an AI-driven feedback loop. These biosensors enable continuous monitoring of cellular morphology, immunophenotype, cytochemical markers, and genetic aberrations. By leveraging quantum sensing and AI analytics, our system provides dynamic diagnostic capability, enhancing early detection and treatment response evaluation in diseases such as acute leukemia, lymphoma, and myelodysplastic syndromes. This paper outlines the design, implementation, and clinical potential of this integrated system, grounded in molecular diagnostics, bioelectronics, nanomedicine, and hematopathology.