Artificial Intelligence-Integrated Nanobiosensors for Cancer Diagnosis

Cancer remains one of the leading causes of mortality worldwide, emphasizing the need for rapid and highly sensitive diagnostic technologies. Nanobiosensors have emerged as promising platforms for early cancer diagnosis by integrating biological recognition elements with functional nanomaterials, enabling the detection of cancer biomarkers with high sensitivity, specificity, and low detection limits. Compared with conventional diagnostic methods, these platforms provide rapid analysis, multiplex detection, and compatibility with point-of-care diagnostics. Recent advances in artificial intelligence (AI) have further enhanced nanobiosensor performance through intelligent sensor design, automated signal processing, biomarker classification, and clinical decision support. This review summarizes recent developments in electrochemical, optical, magnetic, and piezoelectric nanobiosensors for cancer diagnosis, with particular emphasis on AI-assisted biosensing technologies. Current challenges, including clinical validation, manufacturing scalability, and regulatory issues, are also discussed together with future perspectives for intelligent point-of-care diagnostic systems and precision oncology.

کلیدواژه ها:

Nanobiosensors ، Artificial intelligence ، Cancer diagnosis ، Precision oncology ، Point-of-care diagnostics