Author(s): Deisboeck TS, Zhang L, Yoon J, Costa J
Abstract Share this page
Abstract At the dawn of the era of personalized, systems-driven medicine, computational or in silico modeling and the simulation of disease processes is becoming increasingly important for hypothesis generation and data integration in both experiments and clinics alike. Arguably, the use of these techniques is nowhere more visible than in oncology. To illustrate the field's vast potential, as well as its current limitations, we briefly review selected studies on modeling malignant brain tumors. Implications for clinical practice, and for clinical trial design and outcome prediction, are also discussed.
This article was published in Nat Clin Pract Oncol
and referenced in Journal of Proteomics & Bioinformatics