Optimal Control Theory for Personalized Therapeutic Regimens in Oncology: Background, History, Challenges, and Opportunities.

Jarrett, Angela M; Faghihi, Danial; Ii, David A Hormuth; Lima, Ernesto A B F; Virostko, John; Biros, George; Patt, Debra; Yankeelov, Thomas E

Jarrett, Angela M; Faghihi, Danial; Ii, David A Hormuth; Lima, Ernesto A B F; Virostko, John; Biros, George; Patt, Debra; Yankeelov, Thomas E.

Afiliação

Jarrett AM; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA.
Faghihi D; Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX 78712, USA.
Ii DAH; Department of Mechanical and Aerospace Engineering, The University at Buffalo, Buffalo, NY 14260, USA.
Lima EABF; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA.
Virostko J; Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX 78712, USA.
Biros G; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA.
Patt D; Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX 78712, USA.
Yankeelov TE; Department of Diagnostic Medicine, The University of Texas at Austin, Austin, TX 78712, USA.

J Clin Med ; 9(5)2020 May 02.

Article em En | MEDLINE | ID: mdl-32370195

Palavras-chave

cancer treatment; mathematical model; optimizing response; predicting response

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Clin Med Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça

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