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Abdalrhman Mhrok, "Abnormality Detection in Blood Vessels via Mobile Nanosensors," Bachelor Thesis, School of Electrical Engineering and Computer Science (EECS), TU Berlin (TUB), January 2023. (Advisor: Jorge Torres Gómez; Referees: Falko Dressler and Thomas Sikora)


Nanotechnology has progressed rapidly in recent years, making it possible to create applications and devices that offer endless possibilities in the field of medicine. Nanotechnology in medicine can be used to prevent the occurrence of various diseases. Thus, Nanosensors, if properly programmed, can help prevent many diseases by detecting problems before they become serious. They can also help prevent the onset of chronic diseases [1] [2]. For instance, the use of Nanosensors can help improve the detection of bacteria in the human body. By flowing these sensors through the human bloodstream, they can reach many cells and collect data on bacteria in the body, for instance [3]. This data can then be analysed using machine learning to improve the detection of bacteria. These results of analysing the data help detect diseases in early stages. As a consequence of the limited battery capacity or degradation, the Nanosensors can become inactive over time. This might lead to a decrease in the quality and accuracy of the data that is being reported. In order to keep the quality and accuracy of the data high, it is necessary to take into account the change in the number of active Nanosensors over time. This can be done by modeling the lifespan of Nanosensor. In this thesis, the lifespan of the Nanosensor was modeled as a solution to determine the number of Nanosensors working at any given time. Over time, reducing the number of active Nanosensors can significantly decrease the amount of data gathered about the condition of organs in the body. The likelihood of a Nanosensor being present in a particular tissue, as well as its detection accuracy per tissue, is highly dependent on the number of Nanosensors that remain active and the amount of data collected over time.

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Abdalrhman Mhrok

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    author = {Mhrok, Abdalrhman},
    title = {{Abnormality Detection in Blood Vessels via Mobile Nanosensors}},
    advisor = {Torres G{\'{o}}mez, Jorge},
    institution = {School of Electrical Engineering and Computer Science (EECS)},
    location = {Berlin, Germany},
    month = {1},
    referee = {Dressler, Falko and Sikora, Thomas},
    school = {TU Berlin (TUB)},
    type = {Bachelor Thesis},
    year = {2023},

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