A Solution Platform for Personalized Medicine Based on Intelligent IoT Technologies

Inhalt:
Traditional prescription medication and treatment have generally employed a broad approach to a heterogeneous population rather than a unique approach to the individual patient. Yet in the past two decades, the rapid development of Internet of Things technology (IoT) and Artificial Intelligence technology (AI) and their wide spreading applications in many fields and in the society at large may now offer an excellent prospect to revolutionize the traditional medical practices. The technologies will enable the healthcare industry (including physicians, caretakers and supporters, practitioners, and researchers) to identify and treat patients based on unique characteristics. This paper considers various scenarios where personalized prescription medication may be rendered, focusing on the inherent uniqueness of patients. The paper discusses the supports that may be offered by intelligent IoT technologies for personalized medicine development, trials and application. A solution platform for personalized medicine is also introduced. To illustrate how the platform may work, we chose a simple scenario as an example, built a laboratory experimental model. and conducted a case study. In the study case, a physician attempts to make decision as to giving a specific personalized medicine to a patient, who has been diagnosed of a particular disease, and who has also exhibited certain genotypic and phenotypic symptoms. Our initial study result indicated that the solution platform did provide the anticipated support for personalized medicine decision, and the overall results were encouraging and promising. Certainly the laboratory model warrants further R&D endeavour to bring the solution platform introduced in this paper to a reality. Future work may include, for examples: real life data of a much larger scale shall be used and the various knowledge databases shall be enriched, so that analysis and assessment modelling and artificial intelligent algorithms can be made more practical. Furthermore, more study cases of various scenarios will enhance the overall design and functioning of the solution platform, and will offer a more comprehensive insight regarding further development of more sophisticated AI models.