Generation of digital patients for the simulation of tuberculosis with UISS-TB

Pennisi, M., Juarez, M.A. orcid.org/0000-0002-5128-0976, Russo, G. et al. (2 more authors) (2020) Generation of digital patients for the simulation of tuberculosis with UISS-TB. In: Yoo, I., Bi, J. and Hu, X., (eds.) 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 18-21 Nov 2019, San Diego CA, USA. Institute of Electrical and Electronics Engineers (IEEE) , pp. 2163-2167.

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Yoo, I.
  • Bi, J.
  • Hu, X.
Copyright, Publisher and Additional Information:

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Keywords: Generation In Patients; Clinical Trials; Biological Parameters; Phase IIb Clinical Trial; Cohort Of Patients; Multidrug-resistant; Bayesian Model; Multi-agent; Active Phase; Alveolar Macrophages; Input Vector; Duration Of Therapy; Multidrug-resistant Tuberculosis; Rest Of The Features
Dates:
  • Published: 6 February 2020
  • Published (online): 6 February 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield)
Funding Information:
Funder
Grant number
EUROPEAN COMMISSION - HORIZON 2020
777123
Depositing User: Symplectic Sheffield
Date Deposited: 19 Jun 2024 10:02
Last Modified: 20 Jun 2024 11:16
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/bibm47256.2019.8983100
Related URLs:
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 3: Good Health and Well-Being
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