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External power-driven micro/nanorobots: Design, fabrication, and functionalization for tumor diagnosis and therapy

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PROGRESS IN MATERIALS SCIENCE
卷 140, 期 -, 页码 -

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PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.pmatsci.2023.101204

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Micro/nanorobots; Microstructure and force; Biomedical functionalization; Drug delivery; Tumor imaging and therapy

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Cancer poses a significant threat to human health and there are still challenges in its diagnosis and treatment. Micro/nanorobots (MNRs) are attracting attention for their unique advantages in tumor-related applications. External power-driven MNRs enable precise navigation, intelligent identification, and targeted drug delivery in complex media, offering promising approaches for tumor diagnosis and therapy.
Cancer remains a significant threat to human health and life, and there are still many challenges left to overcome with regard to its diagnosis and effective therapy. Micro/nanorobots (MNRs) are attracting widespread attention for their tumor-related applications, offering many unique advantages over traditional methods. MNRs enable precise navigation, intelligent identification, and targeted drug delivery in complex media. This is a promising approach for tumor diagnosis and therapy. This review focuses on the current status of external power-driven MNRs for cancerrelated applications. MNRs driven by external power can continue to operate without contact, non-invasively, and without needing to be supplied with fuel. Current prospects regarding MNRbased applications in oncology are summarized from the design, fabrication, actuation, functionalization, and safety perspectives. Specific action modes of different MNR techniques in terms of diverse tumor types are analyzed through a detailed exploration of diagnosis, detection of problems, and treatment. We summarize the current advantages and the future directions of external power-driven MNRs for tumor diagnosis and therapy. Finally, possible future challenges pertaining to MNRs are highlighted. It is our hope that this compilation of information will help to further advance the translation and integration of MNR methods into routine oncology treatment in clinical settings.

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