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Precision Nanorobotics for Early Diagnosis of Chronic and Oncological Diseases: A Multimodal Approach to Arthritis, Asthma, Tumor?s, And Fatty Liver

Nisha Kumari Adhya Sumit Kumar Pandey Dr. Anupam Singh

Subject area: Biological & Medical Sciences  ·  Area of research: Diagnosis of Chronic and Oncological Diseases

Abstract

This comprehensive review explores the impact of late diagnosis on mortality trends in chronic diseases-including arthritis, asthma, fatty liver disease, and tumors (cancer)-from 2015 to 2025, alongside the emerging role of nanobots in disease detection and therapy. Analysis of global data indicates a steady rise in disease-specific deaths, with late diagnosis accounting for approximately 30% of total mortality in these conditions. For arthritis and asthma, delayed recognition and intervention are linked to increased complications and preventable deaths, despite advances in disease-modifying therapies. In fatty liver disease, late diagnosis often results in progression to cirrhosis or hepatocellular carcinoma, with global deaths projected to rise from 1 million in 2015 to over 1.6 million in 2025. Tumor-related deaths show a similar upward trend, with late-stage detection contributing to nearly 3 million deaths annually by 2025.Nanobot and nanotechnology-based approaches are highlighted as transformative tools for early disease detection and targeted therapy. Nanobots enable sensitive biomarker detection, enhanced imaging, and stimuli-responsive drug delivery, improving diagnostic accuracy and therapeutic outcomes in conditions such as fatty liver disease and cancer. Interaction sites for nanobots include hepatocytes, macrophages, tumor vasculature, and specific cellular receptors, allowing for precision medicine approaches. Despite these advances, challenges remain in clinical translation, standardization, and accessibility of nanobot-based diagnostics. The review underscores the urgent need for improved screening, public awareness, and rapid referral systems to reduce diagnostic delays and prevent avoidable deaths. Early detection, combined with innovative nanotechnology, holds promise for reducing the global burden of chronic diseases.

Keywords

Late diagnosis, Chronic diseases Mortality trends, Nanobots, Nanotechnology, Early detection, Targeted therapy, Precision medicine, Disease biomarker

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How to cite this paper

Nisha Kumari, Adhya, Sumit Kumar Pandey, Dr. Anupam Singh "Precision Nanorobotics for Early Diagnosis of Chronic and Oncological Diseases: A Multimodal Approach to Arthritis, Asthma, Tumor?s, And Fatty Liver" Iconic Research And Engineering Journals Volume 8 Issue 12 2025 Page 211-240
Nisha Kumari, Adhya, Sumit Kumar Pandey, Dr. Anupam Singh "Precision Nanorobotics for Early Diagnosis of Chronic and Oncological Diseases: A Multimodal Approach to Arthritis, Asthma, Tumor?s, And Fatty Liver" Iconic Research And Engineering Journals, vol. 8, no. 12, Jun. 2025
Nisha Kumari, Adhya, Sumit Kumar Pandey, Dr. Anupam Singh (2025). Precision Nanorobotics for Early Diagnosis of Chronic and Oncological Diseases: A Multimodal Approach to Arthritis, Asthma, Tumor?s, And Fatty Liver. Iconic Research And Engineering Journals, 8(12).
Nisha Kumari, Adhya, Sumit Kumar Pandey, Dr. Anupam Singh "Precision Nanorobotics for Early Diagnosis of Chronic and Oncological Diseases: A Multimodal Approach to Arthritis, Asthma, Tumor?s, And Fatty Liver" Iconic Research And Engineering Journals, vol. 8, no. 12, Jun. 2025.
@article{1708998,
      author = {Nisha Kumari, Adhya, Sumit Kumar Pandey, Dr. Anupam Singh},
      title = {Precision Nanorobotics for Early Diagnosis of Chronic and Oncological Diseases: A Multimodal Approach to Arthritis, Asthma, Tumor?s, And Fatty Liver},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {12},
      pages = {211-240},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1708998.pdf},
      abstract = {This comprehensive review explores the impact of late diagnosis on mortality trends in chronic diseases-including arthritis, asthma, fatty liver disease, and tumors (cancer)-from 2015 to 2025, alongside the emerging role of nanobots in disease detection and therapy. Analysis of global data indicates a steady rise in disease-specific deaths, with late diagnosis accounting for approximately 30% of total mortality in these conditions. For arthritis and asthma, delayed recognition and intervention are linked to increased complications and preventable deaths, despite advances in disease-modifying therapies. In fatty liver disease, late diagnosis often results in progression to cirrhosis or hepatocellular carcinoma, with global deaths projected to rise from 1 million in 2015 to over 1.6 million in 2025. Tumor-related deaths show a similar upward trend, with late-stage detection contributing to nearly 3 million deaths annually by 2025.Nanobot and nanotechnology-based approaches are highlighted as transformative tools for early disease detection and targeted therapy. Nanobots enable sensitive biomarker detection, enhanced imaging, and stimuli-responsive drug delivery, improving diagnostic accuracy and therapeutic outcomes in conditions such as fatty liver disease and cancer. Interaction sites for nanobots include hepatocytes, macrophages, tumor vasculature, and specific cellular receptors, allowing for precision medicine approaches. Despite these advances, challenges remain in clinical translation, standardization, and accessibility of nanobot-based diagnostics. The review underscores the urgent need for improved screening, public awareness, and rapid referral systems to reduce diagnostic delays and prevent avoidable deaths. Early detection, combined with innovative nanotechnology, holds promise for reducing the global burden of chronic diseases.},
      keywords = {Late diagnosis, Chronic diseases Mortality trends, Nanobots, Nanotechnology, Early detection, Targeted therapy, Precision medicine, Disease biomarker},
      month = {June},
  }