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  1. Publications:
  2. This material is based upon work supported by the U.S. National Science Foundation under Award 1736196. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

    Journal Papers:
    • W. Oduola, and X. Li (2018). " Multiscale Tumor Modeling With Drug Pharmacokinetic and Pharmacodynamic Profile Using Stochastic Hybrid System ", Cancer Informatics, Vol 17, 1-7, DOI: 10.1177/1176935118790262, July 2018.

    • W. Oduola, X. Li, C. Duan, L. Qian, and E. Dougherty (2018). " Sequential Therapeutic Response Modeling for Tumor Treatment Using Computational Hybrid Control System Approach ". IEEE Transactions On Biomedical Engineering, Vol. 65, Issue 4, Apr.2018.

    • S. Chowdhury, X. Dong, L. Qian, X. Li, Y. Guan, J. Yang, and Q. Yu (2018). " A Multitask bi-directional RNN Model for Named Entity Recognition on Electronic Medical Records ", BMC Bioinformatics, accepted.


    Conference Papers:
    • S. Chowdhury, X. Dong, L. Qian, X. Li, Y. Guan, J. Yang, Q. Yu (2018). " A Multitask bi-directional RNN Model for Named Entity Recognition on Electronic Medical Records ", International Conference on Intelligent Biology and Medicine (ICIBM 2018) .

    • S. Bamgbose, X. Li, L. Qian (2017). " Closed Loop Control of Blood Glucose Level with Neural Network Predictor for Diabetic Patients ", IEEE HealthCom, Oct 12-15, 2017, Dalian, China.

  3. New Course
    • ELEG 6913-P12: Introduction to Systems Biology.
    • ELEG 6913-P21 Modeling in Computational Systems biology.

  4. Software Packages
    • MATLAB
    • TensorFlow
    • R
 
Supported by NSF

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation

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