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Biomedical Engineering – From Theory to Applications

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<strong>Biomedical</strong> <strong>Engineering</strong> <strong>–</strong> <strong>From</strong> <strong>Theory</strong> <strong>to</strong> <strong>Applications</strong><br />

possible, if we have <strong>to</strong> satisfy the task <strong>to</strong> formulate a model suitable for use in feedback<br />

control.<br />

Simulation results were coherent with the medical findings: the comments of clinical<br />

researchers expert in HIV therapies were essential in testing the model and for evaluating<br />

the effectiveness of the proposed control methods.<br />

Obtaining reliable models is relevant from a diagnostic and prognostic point of view,<br />

because it allows the physician <strong>to</strong> prove the therapeutic action using the model for testing<br />

the treatment in terms of optimal dosage and administration of drugs.<br />

In 2008, the FDA approved an in silico model of diabetes as a pre-clinical testing <strong>to</strong>ol for<br />

closed loop research at the seven JDRF Artificial Pancreas Consortium sites. The overall goal<br />

of the Artificial Pancreas project was <strong>to</strong> accelerate the development, regula<strong>to</strong>ry approval,<br />

health insurance coverage, and clinical acceptance of continuous glucose moni<strong>to</strong>ring and<br />

artificial pancreas technology (Juvenile Diabetes Research Foundation, 2008).<br />

We strongly believe that also a simple but reliable in silico model of HIV can lead <strong>to</strong> an<br />

acceleration of the experimental tests for a clinical acceptance of new drugs in HIV disease.<br />

Future activity will be devoted <strong>to</strong> develop models of HIV infection, able <strong>to</strong> include the<br />

issues of drug resistance and viral mutation, key issues for the HIV studies, and the interest<br />

of many clinical researchers in our work is encouraging in the upcoming research.<br />

4. Conclusion<br />

The Physiological Cybernetics course represents an example of integration between<br />

different disciplines, in order <strong>to</strong> produce a common language between students in<br />

biomedical engineer and physicians. It offers students an opportunity <strong>to</strong> verify in practice<br />

how <strong>to</strong> move theoretical lectures, based on the development of mathematical models, <strong>to</strong> a<br />

practical interaction with physicians. This fact seems obvious from an educational<br />

viewpoint, but it isn't so usual in practice, because it requires a preliminary long period for<br />

preparing a common language between researchers in different fields. Judging from the<br />

students’ excellent results, if compared <strong>to</strong> students attending under-graduated courses in<br />

previous years, the example proposed was very successful.<br />

In this chapter we presented two examples of research applications, derived from this<br />

educational experience, demonstrating that the old-novel vision of Wiener was not a u<strong>to</strong>pia,<br />

and that a synergic cooperation between biomedical engineers and physicians can lead <strong>to</strong><br />

interesting results.<br />

5. Acknowledgment<br />

The authors wish <strong>to</strong> thank all people cooperating with the activities of the Physiological<br />

Cybernetics course over many years, the physicians for their support and clinical<br />

supervision and the undergraduate active students for their enthusiasm.<br />

6. References<br />

Abbas, A.K, Lichtman, A.H. & Pober, J.S. (2000). Cellular and Molecular Immunology, IV ed.,<br />

WB Saunders Company, ISBN 07216823323, Philadelphia, US<br />

Bishop, C.M. (1995). Neural Networks for Pattern Recognition, Clarendon Press, ISBN<br />

0198538642, Oxford, UK

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