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02104 am a22003013u 4500 |
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|a dc
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|a Kohandel, Mohammad
|e author
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|a Massachusetts Institute of Technology. Department of Physics
|e contributor
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|a Kardar, Mehran
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|a Kardar, Mehran
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|a Haselwandter, Christoph A.
|e contributor
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|a Haselwandter, Christoph A.
|e author
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|a Kardar, Mehran
|e author
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|a Sengupta, S.
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|a Sivaloganathan, S.
|e author
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|a Quantitative Model for Efficient Temporal Targeting of Tumor Cells and Neovasculature
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|b Hindawi Pub. Corp.,
|c 2011-08-11T14:17:28Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/65104
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|a The combination of cytotoxic therapies and antiangiogenic agents is emerging as a most promising strategy in the treatment of malignant tumors. However, the timing and sequencing of these treatments seem to play essential roles in achieving a synergic outcome. Using a mathematical modeling approach that is grounded on available experimental data, we investigate the spatial and temporal targeting of tumor cells and neovasculature with a nanoscale delivery system. Our model suggests that the experimental success of the nanoscale delivery system depends crucially on the trapping of chemotherapeutic agents within the tumor tissue. The numerical results also indicate that substantial further improvements in the efficiency of the nanoscale delivery system can be achieved through an adjustment of the temporal targeting mechanism.
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|a Natural Sciences and Engineering Research Council of Canada
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|a Canadian Institutes of Health Research
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|a Massachusetts Institute of Technology (Erwin Schrödinger fellowship of the Austrian Science Fund)
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|a National Science Foundation (U.S.) (NSF Grant no. DMR-08-03315)
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|a United States. Dept. of Defense (Era of Hope Scholar award)
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|a en_US
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|a Article
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|t Computational and Mathematical Methods in Medicine
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