Prognostic medication

for predicting premonition and recovery

Remi Konagaya, Ken Naitoh, Keisuke Suzuki, Hiroshi Takashima

    Research output: Contribution to journalArticle

    Abstract

    A nonlinear ordinary differential equation model of time-dependent features of six macroscopic molecular groups on information and function interacting in living beings (Naitoh in Jpn J Ind Appl Math 28:15–26, 2011; Naitoh and Inoue in J Artif Life Robot 18:127–132, 2013) brings a possibility for predicting the morphogenetic process and sustainment of human beings. In this report, along with the number theory, we derive mathematical conditions for predicting the premonition just before sickness, which are logically derived from the differential equation model, and also agree with computational results of death and apparent death obtained by numerically solving the equation model. The mathematical conditions derived agree with an important knowledge revealed by Chen (Proceedings of the international symposium on artificial life and robotics (AROB20th), Beppu, Oita Japan, pp 127–132, 2015), i.e., a critical condition on densities of healthy molecules just before sickness. This agreement is an evidence for significance of our nonlinear equation model and the linear analysis done by Chen et al. Furthermore, we also derive a two-step mathematical condition for classifying death and apparent death. These conditions lead to a method for acquiring premonition of illness and a method for recovering from illness. Finally, we show a possibility that this equation model, extended with random noise from environmental disturbance, may predict life pattern concerning periods of sickness, while also considering polymorphism.

    Original languageEnglish
    Pages (from-to)1-8
    Number of pages8
    JournalArtificial Life and Robotics
    DOIs
    Publication statusAccepted/In press - 2017 Jul 4

    Fingerprint

    Recovery
    Nonlinear Dynamics
    Number theory
    Robotics
    Japan
    Polymorphism
    Nonlinear equations
    Ordinary differential equations
    Differential equations
    Robots
    Molecules

    Keywords

    • Mathematical condition
    • Premonition of illness
    • Prognostic medication
    • Random noise
    • Recovery

    ASJC Scopus subject areas

    • Biochemistry, Genetics and Molecular Biology(all)
    • Artificial Intelligence

    Cite this

    Prognostic medication : for predicting premonition and recovery. / Konagaya, Remi; Naitoh, Ken; Suzuki, Keisuke; Takashima, Hiroshi.

    In: Artificial Life and Robotics, 04.07.2017, p. 1-8.

    Research output: Contribution to journalArticle

    Konagaya, Remi ; Naitoh, Ken ; Suzuki, Keisuke ; Takashima, Hiroshi. / Prognostic medication : for predicting premonition and recovery. In: Artificial Life and Robotics. 2017 ; pp. 1-8.
    @article{49e93e2a1afb4b57ab85b9a0d019b4d9,
    title = "Prognostic medication: for predicting premonition and recovery",
    abstract = "A nonlinear ordinary differential equation model of time-dependent features of six macroscopic molecular groups on information and function interacting in living beings (Naitoh in Jpn J Ind Appl Math 28:15–26, 2011; Naitoh and Inoue in J Artif Life Robot 18:127–132, 2013) brings a possibility for predicting the morphogenetic process and sustainment of human beings. In this report, along with the number theory, we derive mathematical conditions for predicting the premonition just before sickness, which are logically derived from the differential equation model, and also agree with computational results of death and apparent death obtained by numerically solving the equation model. The mathematical conditions derived agree with an important knowledge revealed by Chen (Proceedings of the international symposium on artificial life and robotics (AROB20th), Beppu, Oita Japan, pp 127–132, 2015), i.e., a critical condition on densities of healthy molecules just before sickness. This agreement is an evidence for significance of our nonlinear equation model and the linear analysis done by Chen et al. Furthermore, we also derive a two-step mathematical condition for classifying death and apparent death. These conditions lead to a method for acquiring premonition of illness and a method for recovering from illness. Finally, we show a possibility that this equation model, extended with random noise from environmental disturbance, may predict life pattern concerning periods of sickness, while also considering polymorphism.",
    keywords = "Mathematical condition, Premonition of illness, Prognostic medication, Random noise, Recovery",
    author = "Remi Konagaya and Ken Naitoh and Keisuke Suzuki and Hiroshi Takashima",
    year = "2017",
    month = "7",
    day = "4",
    doi = "10.1007/s10015-017-0375-0",
    language = "English",
    pages = "1--8",
    journal = "Artificial Life and Robotics",
    issn = "1433-5298",
    publisher = "Springer Japan",

    }

    TY - JOUR

    T1 - Prognostic medication

    T2 - for predicting premonition and recovery

    AU - Konagaya, Remi

    AU - Naitoh, Ken

    AU - Suzuki, Keisuke

    AU - Takashima, Hiroshi

    PY - 2017/7/4

    Y1 - 2017/7/4

    N2 - A nonlinear ordinary differential equation model of time-dependent features of six macroscopic molecular groups on information and function interacting in living beings (Naitoh in Jpn J Ind Appl Math 28:15–26, 2011; Naitoh and Inoue in J Artif Life Robot 18:127–132, 2013) brings a possibility for predicting the morphogenetic process and sustainment of human beings. In this report, along with the number theory, we derive mathematical conditions for predicting the premonition just before sickness, which are logically derived from the differential equation model, and also agree with computational results of death and apparent death obtained by numerically solving the equation model. The mathematical conditions derived agree with an important knowledge revealed by Chen (Proceedings of the international symposium on artificial life and robotics (AROB20th), Beppu, Oita Japan, pp 127–132, 2015), i.e., a critical condition on densities of healthy molecules just before sickness. This agreement is an evidence for significance of our nonlinear equation model and the linear analysis done by Chen et al. Furthermore, we also derive a two-step mathematical condition for classifying death and apparent death. These conditions lead to a method for acquiring premonition of illness and a method for recovering from illness. Finally, we show a possibility that this equation model, extended with random noise from environmental disturbance, may predict life pattern concerning periods of sickness, while also considering polymorphism.

    AB - A nonlinear ordinary differential equation model of time-dependent features of six macroscopic molecular groups on information and function interacting in living beings (Naitoh in Jpn J Ind Appl Math 28:15–26, 2011; Naitoh and Inoue in J Artif Life Robot 18:127–132, 2013) brings a possibility for predicting the morphogenetic process and sustainment of human beings. In this report, along with the number theory, we derive mathematical conditions for predicting the premonition just before sickness, which are logically derived from the differential equation model, and also agree with computational results of death and apparent death obtained by numerically solving the equation model. The mathematical conditions derived agree with an important knowledge revealed by Chen (Proceedings of the international symposium on artificial life and robotics (AROB20th), Beppu, Oita Japan, pp 127–132, 2015), i.e., a critical condition on densities of healthy molecules just before sickness. This agreement is an evidence for significance of our nonlinear equation model and the linear analysis done by Chen et al. Furthermore, we also derive a two-step mathematical condition for classifying death and apparent death. These conditions lead to a method for acquiring premonition of illness and a method for recovering from illness. Finally, we show a possibility that this equation model, extended with random noise from environmental disturbance, may predict life pattern concerning periods of sickness, while also considering polymorphism.

    KW - Mathematical condition

    KW - Premonition of illness

    KW - Prognostic medication

    KW - Random noise

    KW - Recovery

    UR - http://www.scopus.com/inward/record.url?scp=85021812125&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=85021812125&partnerID=8YFLogxK

    U2 - 10.1007/s10015-017-0375-0

    DO - 10.1007/s10015-017-0375-0

    M3 - Article

    SP - 1

    EP - 8

    JO - Artificial Life and Robotics

    JF - Artificial Life and Robotics

    SN - 1433-5298

    ER -