Optimal policy determination in sequential systemic and locoregional therapy of oropharyngeal squamous carcinomas: A patient-physician digital twin dyad with deep Q-learning for treatment selection

Elisa Tardini; Xinhua Zhang; Guadalupe Canahuate; Andrew Wentzel; Abdallah S. R. Mohamed; Lisanne Van Dijk; Clifton D. Fuller; G. Elisabeta Marai

doi:10.1101/2021.04.07.21255092

Optimal policy determination in sequential systemic and locoregional therapy of oropharyngeal squamous carcinomas: A patient-physician digital twin dyad with deep Q-learning for treatment selection

Elisa Tardini, Xinhua Zhang, Guadalupe Canahuate, Andrew Wentzel, Abdallah S. R. Mohamed, Lisanne Van Dijk, Clifton D. Fuller, G. Elisabeta Marai

Research output: Working paper › Preprint › Academic

Original language	English
Publisher	MedRxiv
Number of pages	36
DOIs	https://doi.org/10.1101/2021.04.07.21255092
Publication status	Published - 10-Apr-2021

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Tardini, E., Zhang, X., Canahuate, G., Wentzel, A., Mohamed, A. S. R., Dijk, L. V., Fuller, C. D., & Marai, G. E. (2021). Optimal policy determination in sequential systemic and locoregional therapy of oropharyngeal squamous carcinomas: A patient-physician digital twin dyad with deep Q-learning for treatment selection. MedRxiv. https://doi.org/10.1101/2021.04.07.21255092

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