Nanotechnology in Cancer Early Detection and Accurate Diagnosis: Advances in Nanotechnology, Technologies, and Clinical Applications
| Authors | R.D.H. Devi1, M. Dachawar2, J.S. Priya3, S. Gowdhamkumar4, Dr.S. Sivaranjani5, D.D. Vijay6 |
| Affiliations |
1Department of Artificial Intelligence and Data Science, Karpaga Vinayaga College of Engineering & Technology, Chengalpattu, Tamil Nadu, India 2Department of Computer Engineering, Vishwakarma University, Pune, Maharashtra, India 3Department of Master of Computer Applications, Sona College of Technology, Salem, India 4Training Department, PSG Industrial Institute (PSGCT), Peelamedu, Coimbatore,Tamilnadu, India 5Department of EEE, Sri Krishna College of Engineering and Technology, Coimbatore, India 6Department of Microbiology, Karpaga Vinayaga Institute of Medical Sciences & Research Centre, Chengalpattu, Tamil Nadu, India |
| Е-mail | delshi@rocketmail.com |
| Issue | Volume 18, Year 2026, Number 2 |
| Dates | Received 23 January 2026; revised manuscript received 23 April 2026; published online 29 April 2026 |
| Citation | R.D.H. Devi, M. Dachawar, et al., J. Nano- Electron. Phys. 18 No 2, 02011 (2026) |
| DOI | https://doi.org/10.21272/jnep.18(2).02011 |
| PACS Number(s) | 87.19.xj, 87.19.lv |
| Keywords | Nanotechnology (6) , Cancer diagnosis, Tumor biomarkers, Machine learning, Precision oncology, Diagnostic imaging. |
| Annotation |
Nanotechnology is one of such radical approaches in oncology that offers an unprecedented sensitivity and specificity in the detection and diagnosis of cancer in its early stages. This paper has evaluated in a systematic manner the diagnostic value of various nanomaterial-based systems that can be used to diagnose breast, lung, and colorectal cancer such as gold nanoparticles, quantum dots, magnetic nanoprobes, and graphene-based biosensors. The designed nanodiagnostic systems reached the detection limits of 110 pg/mL of major tumor biomarkers including CA15-3, CEA, and HER2 with an average diagnostic accuracy of 95.6 percent in all the analyzed samples. Nanotechnology-based biosensors had 3-5 times higher signal value and 40 percent shorter assay time compared to the conventional immunoassay biosensor. Further on, in vivo imaging with specific nanoparticles gave a tumor to background ratio of 4.8:1, which enabled the lesions to be observed at submillimeter resolution. Specificity of diagnosis was also improved by 12 when these nano-platforms were combined with machine learning algorithms. In general, the results prove that the application of nanotechnology-related diagnostic devices significantly increases the sensitivity, speed, and accuracy of cancer detection, reducing false-positive results and contributing to quick clinical decision-making. The outcomes of this study highlight the revolutionary capability of nanotechnology in enhancing precision oncology by providing early and precise and individual cancer diagnostics. |
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List of References |
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