Robust Identification of Molecularly Targeted Drug Effect Coefficient using $H_{infty}$ Filter
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In recent years, targeted therapy to treat cancer is gaining popularity. However, how to quantitatively and dynamically analyze the drug effect for molecularly targeted agents is quite different from traditional cytotoxic drugs. A novel preclinical model combining experimental methods and theoretical analysis is proposed to investigate the mechanisms of action and identify pharmacodynamic characteristic of a targeted drug. A robust estimator, namely the H filter, is applied to time-course data of tumor cells' responses to drugs. The results show strong correlation between dosage and drug effect coefficient. The proposed method will help us gain more comprehensive understanding of the molecular mechanisms of action of drugs and design better dosing regimens for targeted therapy. 2013 IEEE.
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2013 IEEE Global Conference on Signal and Information Processing