Nearly 30% of women with early-stage breast cancer develop recurrent disease attributed to resistance to systemic therapy. Prevailing models of chemotherapy failure describe three …
Medical oncology is in need of a mathematical modeling toolkit that can leverage clinically- available measurements to optimize treatment selection and schedules for patients. Just as …
Hierarchical processes spanning several orders of magnitude of both space and time underlie nearly all cancers. Multi-scale statistical, mathematical, and computational …
In this paper, we review multiscale modeling for cancer treatment with the incorporation of drug effects from an applied system's pharmacology perspective. Both the classical …
S Sanga, JP Sinek, HB Frieboes, M Ferrari… - Expert review of …, 2006 - Taylor & Francis
The complex, constantly evolving and multifaceted nature of cancer has made it difficult to identify unique molecular and pathophysiological signatures for each disease variant …
Implementation of effective cancer treatment strategies requires consideration of how the spatiotemporal heterogeneities within the tumor microenvironment (TME) influence tumor …
E Shochat, D Hart, Z Agur - Mathematical Models and Methods in …, 1999 - World Scientific
The fundamental strategy of chemotherapy is to maximize tumor eradication within the limits of tolerable toxicity to the organism. To demonstrate the use of mathematical models in …
SN Gardner - Journal of theoretical biology, 2002 - Elsevier
Background: Predicting and tailoring optimal cancer treatments presents a major challenge. Methods: A computational model (kinetically tailored treatment, or KITT model) is developed …
MW Retsky, DE Swartzendruber, PD Bame… - Cancer …, 1994 - Taylor & Francis
The breast cancer treatment failure rate remains unacceptably high. The current breast cancer treatment paradigm, based primarily on Gompertzian kinetics and animal models …