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25 in total

1. Targeted cancer therapy: what if the driver is just a messenger?

Authors: Jonathan H Schatz; Hans-Guido Wendel
Journal: Cell Cycle Date: 2011-11-15 Impact factor: 4.534

2. Targeted cancer therapies.

Authors: Saurabh Aggarwal
Journal: Nat Rev Drug Discov Date: 2010-06 Impact factor: 84.694

3. Optimization of drug combinations using Feedback System Control.

Authors: Patrycja Nowak-Sliwinska; Andrea Weiss; Xianting Ding; Paul J Dyson; Hubert van den Bergh; Arjan W Griffioen; Chih-Ming Ho
Journal: Nat Protoc Date: 2016-01-14 Impact factor: 13.491

4. Closed-loop control of cellular functions using combinatory drugs guided by a stochastic search algorithm.

Authors: Pak Kin Wong; Fuqu Yu; Arash Shahangian; Genhong Cheng; Ren Sun; Chih-Ming Ho
Journal: Proc Natl Acad Sci U S A Date: 2008-03-20 Impact factor: 11.205

5. Automatic optimization of drug cocktails on an integrated microfluidic system.

Authors: Wen-Yen Huang; Ching-An Liu; Rong-Syuan Fan; Zhi-Da Lin; Kuan Wang; Gwo-Bin Lee
Journal: Biomicrofluidics Date: 2017-05-15 Impact factor: 2.800

Review 6. Personalized therapies in the cancer "omics" era.

Authors: Alberto Ocaña; Atanasio Pandiella
Journal: Mol Cancer Date: 2010-07-29 Impact factor: 27.401

7. Molecular interactions of ErbB1 (EGFR) and integrin-β1 in astrocytoma frozen sections predict clinical outcome and correlate with Akt-mediated in vitro radioresistance.

Authors: Miklós Petrás; Tamás Lajtos; Elza Friedländer; Almos Klekner; Eva Pintye; Burt G Feuerstein; János Szöllosi; György Vereb
Journal: Neuro Oncol Date: 2013-04-17 Impact factor: 12.300

Cancer: mixing cocktails.