Add to ORKGPopulation modeling of tumor size dynamics has recently emerged as an important tool in pharmacometric research. A series of new mixed-effects models have been reported recently, and we present herein a synthetic view of models with published mathematical equations aimed at describing the dynamics of tumor size in cancer patients following anticancer drug treatment. This selection of models will constitute the basis for the Drug Disease Model Resources (DDMoRe) repository for models on oncology
Objectives: A biomarker - in the context of mechanism-based PK-PD modelling - is a measurement that ...
Tumorigenesis is a complex process that is heterogeneous and affected by numerous sources of variabi...
Cancer is the disease caused by disordered hormone so that it causes the lumps to grow abnormally o...
Population modeling of tumor size dynamics has recently emerged as an important tool in pharmacometr...
A mathematical model for describing the cancer growth dynamics in response to anticancer agents adm...
A number of mathematical models of cancer growth and treatment are presented. The most significant m...
Classical mathematical models of tumor growth have shaped our understanding of cancer and have broad...
International audienceOver the last few years, taking advantage of the linear growth of diameter kin...
In oncology trials, overall survival (OS) is considered the most reliable and preferred endpoint to ...
International audienceSystem identification of treated tumor growth is addressed in this paper. Thre...
Tumorigenesis is a complex process that is heterogeneous and affected by numerous sources of variabi...
Abstract — Available mathematical models of tumor growth and the effect of anticancer treatments in ...
Using mathematical models to simulate dynamic biological processes has a long history. Over the past...
In the past 30 years we have witnessed an extraordinary progress on the research in the molecular bi...
A key area of interest in cancer research is understanding tumor dynamics, so that tumor growth can ...
Objectives: A biomarker - in the context of mechanism-based PK-PD modelling - is a measurement that ...
Tumorigenesis is a complex process that is heterogeneous and affected by numerous sources of variabi...
Cancer is the disease caused by disordered hormone so that it causes the lumps to grow abnormally o...
Population modeling of tumor size dynamics has recently emerged as an important tool in pharmacometr...
A mathematical model for describing the cancer growth dynamics in response to anticancer agents adm...
A number of mathematical models of cancer growth and treatment are presented. The most significant m...
Classical mathematical models of tumor growth have shaped our understanding of cancer and have broad...
International audienceOver the last few years, taking advantage of the linear growth of diameter kin...
In oncology trials, overall survival (OS) is considered the most reliable and preferred endpoint to ...
International audienceSystem identification of treated tumor growth is addressed in this paper. Thre...
Tumorigenesis is a complex process that is heterogeneous and affected by numerous sources of variabi...
Abstract — Available mathematical models of tumor growth and the effect of anticancer treatments in ...
Using mathematical models to simulate dynamic biological processes has a long history. Over the past...
In the past 30 years we have witnessed an extraordinary progress on the research in the molecular bi...
A key area of interest in cancer research is understanding tumor dynamics, so that tumor growth can ...
Objectives: A biomarker - in the context of mechanism-based PK-PD modelling - is a measurement that ...
Tumorigenesis is a complex process that is heterogeneous and affected by numerous sources of variabi...
Cancer is the disease caused by disordered hormone so that it causes the lumps to grow abnormally o...