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Editorial
. 2022 Jul 5:13:949771.
doi: 10.3389/fphys.2022.949771. eCollection 2022.

Editorial: Integration of Machine Learning and Computer Simulation in Solving Complex Physiological and Medical Questions

Gary An  1 , Michael Döllinger  2 , Nicole Y K Li-Jessen  3   4   5
Affiliations
Editorial

Editorial: Integration of Machine Learning and Computer Simulation in Solving Complex Physiological and Medical Questions

Gary An et al. Front Physiol. .
No abstract available

Keywords: complex disease; computer simulation; high fidelity computational method; machine learning; multi-scale modeling; personalized medcine.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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  • Editorial on the Research Topic Integration of Machine Learning and Computer Simulation in Solving Complex Physiological and Medical Questions

References

    1. Garcez Ad. A., Lamb L. C. (2020). Neurosymbolic AI: The 3rd Wave. arXiv preprint arXiv:201205876 .
    1. Garg A., Yuen S., Seekhao N., Yu G., Karwowski J., Powell M., et al. (2019). Towards a Physiological Scale of Vocal Fold Agent-Based Models of Surgical Injury and Repair: Sensitivity Analysis, Calibration and Verification. Appl. Sci. 9 (15), 2974. 10.3390/app9152974 - DOI - PMC - PubMed
    1. Granato B., Li-Jessen N. Y. (2020). Sensitivity Analysis for Dimensionality Reduction in Agent-Based Modeling. In ECAI 2020. IOS Press; 2905–2906.
    1. Hornik K., Stinchcombe M., White H. (1989). Multilayer Feedforward Networks Are Universal Approximators. Neural Netw. 2 (5), 359–366. 10.1016/0893-6080(89)90020-8 - DOI
    1. Ozik J., Collier N. T., Wozniak J. M., Macal C. M., An G. (2018). Extreme-Scale Dynamic Exploration of a Distributed Agent-Based Model with the EMEWS Framework. IEEE Trans. Comput. Soc. Syst. 5 (3), 884–895. 10.1109/tcss.2018.2859189 - DOI - PMC - PubMed

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