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      Advanced Target Detection via Molecular Communication

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          Abstract

          In this paper, we consider target detection in suspicious tissue via diffusive molecular communications (MCs). If a target is present, it continuously and with a constant rate secretes molecules of a specific type, so-called biomarkers, into the medium, which are symptomatic for the presence of the target. Detection of these biomarkers is challenging since due to the diffusion and degradation, the biomarkers are only detectable in the vicinity of the target. In addition, the exact location of the target within the tissue is not known. In this paper, we propose to distribute several reactive nanosensors (NSs) across the tissue such that at least some of them are expected to come in contact with biomarkers, which cause them to become activated. Upon activation, an NS releases a certain number of molecules of a secondary type into the medium to alert a fusion center (FC), where the final decision regarding the presence of the target is made. In particular, we consider a composite hypothesis testing framework where it is assumed that the location of the target and the biomarker secretion rate are unknown, whereas the locations of the NSs are known. We derive the uniformly most powerful (UMP) test for the detection at the NSs. For the final decision at the FC, we show that the UMP test does not exist. Hence, we derive a genie-aided detector as an upper bound on performance. We then propose two sub-optimal detectors and evaluate their performance via simulations

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          Cancer biomarker detection: recent achievements and challenges.

          The early detection of cancer can significantly reduce cancer mortality and saves lives. Thus, a great deal of effort has been devoted to the exploration of new technologies to detect early signs of the disease. Cancer biomarkers cover a broad range of biochemical entities, such as nucleic acids, proteins, sugars, small metabolites, and cytogenetic and cytokinetic parameters, as well as entire tumour cells found in the body fluid. They can be used for risk assessment, diagnosis, prognosis, and for the prediction of treatment efficacy and toxicity and recurrence. In this review, we provide an overview of recent advances in cancer biomarker detection. Several representative examples using different approaches for each biomarker have been reviewed, and all these cases demonstrate that the multidisciplinary technology-based cancer diagnostics are becoming an increasingly relevant alternative to traditional techniques. In addition, we also discuss the unsolved problems and future challenges in the evaluation of cancer biomarkers. Clearly, solving these hurdles requires great effort and collaboration from different communities of chemists, physicists, biologists, clinicians, material-scientists, and engineering and technical researchers. A successful outcome will result in the realization of point-of-care diagnosis and individualized treatment of cancers by non-invasive and convenient tests in the future.
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            Hypothesis testing when a nuisance parameter is present only under the alternative

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              Comprehensive Reactive Receiver Modeling for Diffusive Molecular Communication Systems: Reversible Binding, Molecule Degradation, and Finite Number of Receptors

              This paper studies the problem of receiver modeling in molecular communication systems. We consider the diffusive molecular communication channel between a transmitter nano-machine and a receiver nano-machine in a fluid environment. The information molecules released by the transmitter nano-machine into the environment can degrade in the channel via a first-order degradation reaction and those that reach the receiver nano-machine can participate in a reversible bimolecular reaction with receiver receptor proteins. Thereby, we distinguish between two scenarios. In the first scenario, we assume that the entire surface of the receiver is covered by receptor molecules. We derive a closed-form analytical expression for the expected received signal at the receiver, i.e., the expected number of activated receptors on the surface of the receiver. Then, in the second scenario, we consider the case where the number of receptor molecules is finite and the uniformly distributed receptor molecules cover the receiver surface only partially. We show that the expected received signal for this scenario can be accurately approximated by the expected received signal for the first scenario after appropriately modifying the forward reaction rate constant. The accuracy of the derived analytical results is verified by Brownian motion particle-based simulations of the considered environment, where we also show the impact of the effect of receptor occupancy on the derived analytical results.
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                Author and article information

                Journal
                03 May 2018
                Article
                1805.01514
                8d6506da-f6f3-44ba-b5b6-1e328085376a

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Custom metadata
                cs.ET cs.IT math.IT

                Numerical methods,Information systems & theory,General computer science
                Numerical methods, Information systems & theory, General computer science

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