Drug delivery schedules are key factors in the efficacy of cancer therapies, and mathematical modeling of population dynamics and treatment responses can be applied to identify better drug administration regimes as well as provide mechanistic insights. To capitalize on the promise of this approach, the cancer field must meet the challenges of moving this type of work into clinics
International audienceTreating cancer patients with metastatic disease remains an ultimate challenge...
Treating cancer patients with metastatic disease remains an ultimate challenge in clinical...
International audienceOncology has benefited from an increasingly growing number of groundbreaking i...
Drug delivery schedules are key factors in the efficacy of cancer therapies, and mathematical modeli...
International audienceDespite significant advances in oncological research, cancer nowadays remains ...
Mathematical modeling has recently been added as a tool in the fight against cancer. The field of ma...
Mathematical modeling has recently been added as a tool in the fight against cancer. The field of ma...
Cancer is one of the major health problems in the UK and many other countries. For some cancers, ear...
AbstractWheldon [1] demonstrated the usefulness of mathematical models in cancer research for gainin...
This Thesis explores a set of key features of one of the most important group of diseases: cancer. M...
International audienceComputational oncology is a generic term that encompasses any form of computer...
Over the past 25 years, there has been an unparalleled increase in understanding of cancer biology. ...
The multiscale complexity of cancer as a disease necessitates a corresponding multiscale modelling a...
We present a competition model of cancer tumor growth which includes both the immune system response...
Accumulation of new biological and clinical data thanks to the development and generalization of nov...
International audienceTreating cancer patients with metastatic disease remains an ultimate challenge...
Treating cancer patients with metastatic disease remains an ultimate challenge in clinical...
International audienceOncology has benefited from an increasingly growing number of groundbreaking i...
Drug delivery schedules are key factors in the efficacy of cancer therapies, and mathematical modeli...
International audienceDespite significant advances in oncological research, cancer nowadays remains ...
Mathematical modeling has recently been added as a tool in the fight against cancer. The field of ma...
Mathematical modeling has recently been added as a tool in the fight against cancer. The field of ma...
Cancer is one of the major health problems in the UK and many other countries. For some cancers, ear...
AbstractWheldon [1] demonstrated the usefulness of mathematical models in cancer research for gainin...
This Thesis explores a set of key features of one of the most important group of diseases: cancer. M...
International audienceComputational oncology is a generic term that encompasses any form of computer...
Over the past 25 years, there has been an unparalleled increase in understanding of cancer biology. ...
The multiscale complexity of cancer as a disease necessitates a corresponding multiscale modelling a...
We present a competition model of cancer tumor growth which includes both the immune system response...
Accumulation of new biological and clinical data thanks to the development and generalization of nov...
International audienceTreating cancer patients with metastatic disease remains an ultimate challenge...
Treating cancer patients with metastatic disease remains an ultimate challenge in clinical...
International audienceOncology has benefited from an increasingly growing number of groundbreaking i...