ENGINEERING AND ANALYTICAL METHODS FOR PRECISION MEDICINE

Abstract

ThesisAim of this thesis is to exploit modern technologies and statistical methods to support precision medicine in both the gathering and analysis of data. Real-time measurements of clinical parameters and identification of molecular signatures are thought to be crucial to tailor medications on the individual needs and likeliness of response. This thesis explores both aspects. The first part of the thesis studies the issues related to the safe real-time collection of parameters in connection to ultrasound communications of intra-body sensor networks. A testbed has been developed and a complete characterisation of a high water concentration channel — comparable to human body — is provided. The second part focuses on the analysis of transcriptomic data to predict successful treatments in non-communicable diseases. To reach this aim we will present a novel pathway-based tool together with the results from two clinical trials

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