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    Abstract

    FTO4/449: Use of Software Agents for Treating Disease over the Internet

    ABSTRACT

    Introduction: Mobility, responsivity, autonomy, learning, and collaboration are characteristics commonly shared by biological and software agents. Our investigation into the physiological resources of communication suggested the possibility of using software rather than chemical agents in the treatment of disease. Assuming that the human body has adapting host platforms to agents presented in a form coherent with the biological conditions of receptivity, we developed a system that enables software agents to transport their state into the human body. A small-scale feasibility study was conducted to determine the value of this novel research path.

    Methods: For a case-comparison, we studied 12 volunteers suffering from mild to moderate asthma and 15 healthy volunteers as controls. The subjects were teleconsulted over the Internet using a custom system (Biosign, Canada) that programs progressive analysis of Pulsewave and Oximetry Parameters (POP) acquired using a DAQ board (National Instruments, USA). POP patterns were identified and interpreted by an expert system integrated between the sensor and the effector units. Software agents were selected based on POP patterns and deployed over the Internet.

    Results: All patients exhibited significant POP pattern divagation (P<0.001) compared with the controls. Four patients responded promptly to treatments using software agents, with no relapse during a six-week follow-up. The other patients did not respond at all. No side effects have been observed or reported.

    Discussion: The results are discussed for each case. They suggest that digital therapy - namely, the therapeutic use of software agents, may be a viable and desirable alternative, especially when assessed according to the primary aims of telemedicine. Treating disease by means of software agents deployed over the Internet is, in our opinion, a goal attainable within the limits of current technology.

    J Med Internet Res 1999;1(suppl1):e29)

    doi:10.2196/jmir.1.suppl1.e29

    KEYWORDS


    Edited by G. Eysenbach; This is a non-peer-reviewed article. published 19.09.99

    Except where otherwise noted, articles published in the Journal of Medical Internet Research are distributed under the terms of the Creative Commons Attribution License (http://www.creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.