Abstract
The Systems Biology Grand Challenge: Personalized Medicine
With the advent of languages and packages well suited for the annotation and
simulation of cellular biological pathways ( e.g. SBML, VirtualCell, GEPASI) a
tantalizing picture of the clinical applications of Systems Biology is emerging.
The long sought-after goal of Personalized Medicine is a significant portion of
this picture. In this talk, I will present 3 examples from my laboratory, at the
Cell level, at the Organ level and at the Organism level, where detailed
simulations have played, and can continue to play, huge roles in the development
of therapies. Conventional deterministic models, monte-carlo models and logical
models will be discussed in the context of predictive, personalized medicine.
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