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<p>Nanofluidics can increase mass and heat transfer through various media to repair or damage cells, human organs, and tissues based on various technologies including magnetic hyperthermia treatment or active coatings. For all these reasons, there is a real need for a NanoSensor Network to detect infectious, especially incurable diseases today, to distinguish the chemical and behavioral properties of incurable diseases from the behavioral properties of other particles. The proposed nanonetwork advocates for nanosensor network platforms to aid in disease diagnosis, including cancers and diabetes, and is designed to help doctors diagnose infectious and incurable diseases. This work focuses on the implantation of a nanosensor network in nanofluids, proposes classifications, and applies them to nanomedicine and biomedicine. In the evaluation and analysis phase of our study, we simulated solutions for three types of diabetes and presented statistical results on disease detection. Sensitivity and specificity, critical metrics for defining the accuracy of a diagnostic test, were used to determine the presence or absence of the medical condition. Our approach included comprehensive comparisons, discussions on solution limitations, and the introduction of algorithms and models designed to improve diagnostic precision and reliability through contemporary technologies.</p>

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Diagnosis of Infectious Diseases using Nano Sensors Network in Nanofluids

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月5日

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  • Adda Boualem,
  • Hacène Fouchal,
  • Marwane Ayaida,
  • Hisham Kholidy

摘要

Nanofluidics can increase mass and heat transfer through various media to repair or damage cells, human organs, and tissues based on various technologies including magnetic hyperthermia treatment or active coatings. For all these reasons, there is a real need for a NanoSensor Network to detect infectious, especially incurable diseases today, to distinguish the chemical and behavioral properties of incurable diseases from the behavioral properties of other particles. The proposed nanonetwork advocates for nanosensor network platforms to aid in disease diagnosis, including cancers and diabetes, and is designed to help doctors diagnose infectious and incurable diseases. This work focuses on the implantation of a nanosensor network in nanofluids, proposes classifications, and applies them to nanomedicine and biomedicine. In the evaluation and analysis phase of our study, we simulated solutions for three types of diabetes and presented statistical results on disease detection. Sensitivity and specificity, critical metrics for defining the accuracy of a diagnostic test, were used to determine the presence or absence of the medical condition. Our approach included comprehensive comparisons, discussions on solution limitations, and the introduction of algorithms and models designed to improve diagnostic precision and reliability through contemporary technologies.