Optimizing Cancer Treatment Using Game Theory: A Review.

Stanková, Katerina; Brown, Joel S; Dalton, William S; Gatenby, Robert A

Stanková, Katerina; Brown, Joel S; Dalton, William S; Gatenby, Robert A.

Affiliation

Stanková K; Department of Data Science and Knowledge Engineering, Maastricht University, Maastricht, the Netherlands.
Brown JS; Delft Institute of Applied Mathematics, Delft University of Technology, Delft, the Netherlands.
Dalton WS; Cancer Biology and Evolution Program, Moffitt Cancer Center, Tampa, Florida.
Gatenby RA; Cancer Biology and Evolution Program, Moffitt Cancer Center, Tampa, Florida.

JAMA Oncol ; 5(1): 96-103, 2019 01 01.

Article in En | MEDLINE | ID: mdl-30098166

Subject(s)

Antineoplastic Agents/therapeutic use; Clinical Decision-Making; Drug Resistance, Neoplasm; Game Theory; Medical Oncology/methods; Neoplasms/drug therapy; Patient Selection; Antineoplastic Agents/adverse effects; Disease Progression; Drug Resistance, Neoplasm/genetics; Drug Substitution; Humans; Neoplasms/genetics; Neoplasms/mortality; Neoplasms/pathology; Quality of Life; Risk Assessment; Risk Factors; Time Factors; Treatment Outcome

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Patient Selection / Drug Resistance, Neoplasm / Clinical Decision-Making / Game Theory / Medical Oncology / Neoplasms / Antineoplastic Agents Type of study: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: JAMA Oncol Year: 2019 Type: Article Affiliation country: Netherlands

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