Diagnose and Classification of Infectious and Diseases using Nano Sensors Network in Nanofluids: Theoretical and Modeling Study

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Abstract 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 nanonetworks are designed to help doctors to diagnose infectious and incurable diseases. Nanofluidics can also increase mass and heat transfer through various media to repair or damage cells, human organs, and tissues based on various technologies such as magnetic hyperthermia treatment or active coatings. For all these reasons, there is a real need for a nano-sensor network for nanofluid environment, for nanomedicine and biomedicine. This work is on the implantation of a nanosensors network in nanofluids: classifications and application in nanomedicine and biomedicine. In the evaluation and analysis phase, we have integrated a comparison with similar works, the limitation of the solution, and we have proposed an algorithm and a model that are used to ensure precision and reliability in the diagnosis of our solution using current technologies. To summarize, this work proposes nanosensor network platforms to help doctors diagnose diseases such as cancer and diabetic patients.
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Diagnose and Classification of Infectious and Diseases using Nano Sensors Network in Nanofluids: Theoretical and Modeling Study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Diagnose and Classification of Infectious and Diseases using Nano Sensors Network in Nanofluids: Theoretical and Modeling Study Adda Boualem, Hacène Fouchal, Marwane Ayaida, Hisham Kholidy This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4414269/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 8 You are reading this latest preprint version Abstract 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 nanonetworks are designed to help doctors to diagnose infectious and incurable diseases. Nanofluidics can also increase mass and heat transfer through various media to repair or damage cells, human organs, and tissues based on various technologies such as magnetic hyperthermia treatment or active coatings. For all these reasons, there is a real need for a nano-sensor network for nanofluid environment, for nanomedicine and biomedicine. This work is on the implantation of a nanosensors network in nanofluids: classifications and application in nanomedicine and biomedicine. In the evaluation and analysis phase, we have integrated a comparison with similar works, the limitation of the solution, and we have proposed an algorithm and a model that are used to ensure precision and reliability in the diagnosis of our solution using current technologies. To summarize, this work proposes nanosensor network platforms to help doctors diagnose diseases such as cancer and diabetic patients. Nano-Sensors Network Nanoparticles Nanofluids Nanomedicine Biomedicine Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 02 Jul, 2024 Reviews received at journal 01 Jul, 2024 Reviewers agreed at journal 25 Jun, 2024 Reviewers agreed at journal 16 May, 2024 Reviewers invited by journal 15 May, 2024 Editor assigned by journal 15 May, 2024 Submission checks completed at journal 15 May, 2024 First submitted to journal 13 May, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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