Feb 24, 2011 · This approach will allow optimization of available resources for cancer control and intervention timing based on molecular biomarkers in predicting cancer.
In this evolutionary process, most clones may evolve in directions that do not lead to cancer (dark gray circles), whereas some others retain great potential ...
Aside from primary prevention, early detection remains the most effective way to decrease mortality associated with the majority of solid cancers.
This approach will allow optimization of available resources for cancer control and intervention timing based on molecular biomarkers in predicting cancer among ...
Application of biomarkers in cancer risk management: evaluation from stochastic clonal evolutionary and dynamic system optimization points of view. Li ...
A dynamic optimization approach for cancer risk management and early detection. In S1, we present a framework of mathematical modeling for cancer risk ...
Application of Biomarkers in Cancer Risk Management: Evaluation from Stochastic Clonal Evolutionary and Dynamic System Optimization Points of View. PLOS ...
We then evaluate cancer risk prediction and early detection from a dynamic clonal evolution point of view, examining the implications of dynamic clonal ...
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What are the applications of biomarkers in cancer?
Models using biomarkers for cancer risk management should allow optimization of various specific and objective functions dynamically, which is different from ...
Application of Biomarkers in Cancer Risk Management: Evaluation from Stochastic Clonal Evolutionary and Dynamic System Optimization Points of View · Xiaohong ...