Page 15 - ITU KALEIDOSCOPE, ATLANTA 2019
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PANACEA: AN INTERNET OF BIO-NANOTHINGS APPLICATION FOR
                   EARLY DETECTION AND MITIGATION OF INFECTIOUS DISEASES



                                                     Ian F. Akyildiz


                                          Georgia Institute of Technology, USA




            The  state-of-the-art  diagnostics,  monitoring,  and  therapy  are  limited  by  the  imprecise  nature  of
            current methods and use of devices that are either external, or when implanted, suffer from large size.
            A breakthrough is eminent since we are at a critical crossroad in biomedical research in which our
            ability to miniaturize sensors and electronics is unprecedented, and our understanding of biological
            systems enables fine-grained manipulation and control of behavior of cells down to the molecular
            level. These technologies will be leveraged to create Internet of Bio-NanoThings (IoBNT), which
            is envisioned to be a heterogeneous network of nanoscale bio-electronic components and engineered
            biological cells, so called Bio-NanoThings (BNT), communicating via electromagnetic waves, and
            via molecular communication. The objective of this concept is to directly interact with the cells
            enabling more accurate sensing and eventually control complicated biological dynamics of the human
            body in real time.

            As the enabler of IoBNT, Molecular Communication (MC) arises from the observation of chemical
            communications in and among the basic units of life, i.e. biological cells, where the information is
            represented, exchanged and stored in the form of molecules. The key processes of chemical reactions
            and molecular transport are at the basis of encoding, propagation, and processing of information
            bearing molecular signals.  The focus  of this  discipline is  on the modeling,  characterization, and
            engineering of information transmission through molecule exchange, with immediate applications in
            biotechnology, medicine, ecology, and defense, among others. In the past decade of MC research, the
            first  studies focused on  the physical  layer characteristics of communication channels  where MC
            techniques are defined based on the transport mechanism such as diffusion-based and flow-based MC,
            chemotaxis, and molecular motors. However, there is still limited investigation on the definition of
            technologies for practical applications of MC. Here, we present a novel perspective on the theory of
            MC by expanding on existing and future studies for its application to healthcare.
            To illustrate how MC brings together biological and cyber worlds for healthcare applications, we
            introduce the concept of a new cyber-physical system called, PANACEA (a solution or remedy for
            all difficulties or diseases in Latin), which is a closed-loop solution to the problem of monitoring
            infections. PANACEA leverages cutting-edge technologies in the cyber (i.e. machine learning, big
            data analytics, cloud computing, security) and physical (i.e. bio-nanosensors, magnetic and wireless
            communications) domains to continuously monitor the tissues at risk of serious infection for early
            detection and mitigation of infections. By tapping into cell-to-cell communication mechanisms of
            bacteria infecting human body, it is possible to estimate the increase in the population of the bacteria
            indicating  an  infection  even  before  the  patient  shows  symptoms.  Bio-nanosensors  sense
            communication molecules, so-called quorum sensing molecules, exchanged among the infectious
            bacteria. Quorum sensing is the major cell-to-cell communication mechanism where bacteria produce
            and  release  chemical  signal  molecules  whose  external  concentration  increases  as  a  function  of
            increasing cell-population density. Therefore, by sensing the concentration of its quorum sensing
            molecules, it is possible to estimate the density of the infectious bacteria population. This can be used
            to detect infection, which is the invasion of various healthy human tissues by pathogenic bacteria that
            are multiplying and disrupting tissues’ operation, causing diseases.





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