most citedClassical Mathematical Models for Description and Prediction of Experimental Tumor Growth

612 citations · 661 across the 4 of their papers we have counts for

collaborators

7 papers

q-bio.QM2014★ 612 cited

Classical Mathematical Models for Description and Prediction of Experimental Tumor Growth

Sébastien Benzekry, Clare Lamont, Afshin Beheshti +4

Despite internal complexity, tumor growth kinetics follow relatively simple macroscopic laws that have been quantified by mathematical models. To resolve this further, quantitative…

q-bio.QM2014★ 42 cited

Global Dormancy of Metastases Due to Systemic Inhibition of Angiogenesis

Sébastien Benzekry, Alberto Gandolfi, Philip Hahnfeldt

Autopsy studies of adults dying of non-cancer causes have shown that virtually all of us possess occult, cancerous lesions. This suggests that, for most individuals, cancer will be…

q-bio.MN2014

Estimating the Energetic State of Malignant Cells from RNA Transcription and Protein Interaction Network Data

Edward A. Rietman, Rainer Sachs, Philip Hahnfeldt +1

Gene expression data, or transcription data, are surrogates for actual protein concentrations in the cells. In addition protein-protein interactions are static diagrams of all the…

math.AP2013

A mathematical model of systemic inhibition of angiogenesis in metastatic development

Sebastien Benzekry, Alberto Gandolfi, Philip Hahnfeldt

We present a mathematical model describing the time development of a population of tumors subject to mutual angiogenic inhibitory signaling. Based on biophysical derivations, it de…

q-bio.TO2013

Maximum Tolerated Dose Versus Metronomic Scheduling in the Treatment of Metastatic Cancers

Sebastien Benzekry, Philip Hahnfeldt

Although optimal control theory has been used for the theoretical study of anti-cancerous drugs scheduling optimization, with the aim of reducing the primary tumor volume, the effe…

q-bio.TO2013★ 7 cited

Quantitative Analysis of the Tumor/Metastasis System and its Optimal Therapeutic Control

Sebastien Benzekry, Dominique Barbolosi, Assia Benabdallah +2

A mathematical model for time development of metastases and their distribution in size and carrying capacity is presented. The model is used to theoretically investigate anti-cance…