Literature DB >> 857983

Optimal control analysis in the chemotherapy of IgG multiple myeloma.

G W Swan, T L Vincent.   

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Year:  1977        PMID: 857983     DOI: 10.1007/BF02462912

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


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  7 in total

1.  Some strategies for harvesting a single species.

Authors:  G W Swan
Journal:  Bull Math Biol       Date:  1975-12       Impact factor: 1.758

2.  Pharmacodynamics of chemotherapeutic effects: dose-time-response relationships for phase-nonspecific agents.

Authors:  W J Jusko
Journal:  J Pharm Sci       Date:  1971-06       Impact factor: 3.534

3.  Improvement of the model systems.

Authors:  H E Skipper
Journal:  Cancer Res       Date:  1969-12       Impact factor: 12.701

4.  Kinetic parameters and growth curves for experimental tumor systems.

Authors:  L Simpson-Herren; H H Lloyd
Journal:  Cancer Chemother Rep       Date:  1970-06

5.  State vector description of the proliferation of mammalian cells in tissue culture. I. Exponential growth.

Authors:  G M Hahn
Journal:  Biophys J       Date:  1966-05       Impact factor: 4.033

6.  Kinetics of tumor growth and regression in IgG multiple myeloma.

Authors:  P W Sullivan; S E Salmon
Journal:  J Clin Invest       Date:  1972-07       Impact factor: 14.808

7.  Dose-response curves for agents that impair cell reproductive integrity. The relation between dose-response curves and the design of selective regimens in cancer chemotherapy.

Authors:  M C Berenbaum
Journal:  Br J Cancer       Date:  1969-06       Impact factor: 7.640

  7 in total
  22 in total

1.  Mathematical models in oncology: a bird's-eye view.

Authors:  P Tautu
Journal:  Z Krebsforsch Klin Onkol Cancer Res Clin Oncol       Date:  1978

Review 2.  The dynamics of drug resistance: a mathematical perspective.

Authors:  Orit Lavi; Michael M Gottesman; Doron Levy
Journal:  Drug Resist Updat       Date:  2012-03-03       Impact factor: 18.500

3.  Intratumor heterogeneity alters most effective drugs in designed combinations.

Authors:  Boyang Zhao; Michael T Hemann; Douglas A Lauffenburger
Journal:  Proc Natl Acad Sci U S A       Date:  2014-07-07       Impact factor: 11.205

4.  Parameter-dependent transitions and the optimal control of dynamical diseases.

Authors:  P E Rapp; R A Latta; A I Mees
Journal:  Bull Math Biol       Date:  1988       Impact factor: 1.758

5.  Mathematical approaches to optimization of cancer chemotherapy.

Authors:  S Zietz; C Nicolini
Journal:  Bull Math Biol       Date:  1979       Impact factor: 1.758

6.  Cancer chemotherapy: optimal control using the Verhulst-Pearl equation.

Authors:  G W Swan
Journal:  Bull Math Biol       Date:  1986       Impact factor: 1.758

7.  Integrating genomic information and signaling dynamics for efficient cancer therapy.

Authors:  Jacob Stewart-Ornstein; Galit Lahav
Journal:  Curr Opin Syst Biol       Date:  2016-12-19

8.  An optimal control model of diabetes mellitus.

Authors:  G W Swan
Journal:  Bull Math Biol       Date:  1982       Impact factor: 1.758

Review 9.  Modeling Tumor Clonal Evolution for Drug Combinations Design.

Authors:  Boyang Zhao; Michael T Hemann; Douglas A Lauffenburger
Journal:  Trends Cancer       Date:  2016-03

10.  Multicompartment models of cancer chemotherapy incorporating resistant cell populations.

Authors:  H N Duc; P M Nickolls
Journal:  J Pharmacokinet Biopharm       Date:  1987-04
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