Frédérique Billy

ORCID: 0000-0003-3659-4448
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About
Contact & Profiles
Research Areas
  • Mathematical Biology Tumor Growth
  • Angiogenesis and VEGF in Cancer
  • Gene Regulatory Network Analysis
  • French Urban and Social Studies
  • Historical and Literary Studies
  • Cancer, Hypoxia, and Metabolism
  • Flow Measurement and Analysis
  • Circadian rhythm and melatonin
  • Fluid Dynamics and Turbulent Flows
  • Linguistics and Discourse Analysis
  • Surface Modification and Superhydrophobicity
  • Microtubule and mitosis dynamics
  • Cancer Genomics and Diagnostics
  • Textile materials and evaluations
  • Space Science and Extraterrestrial Life
  • Cardiac and Coronary Surgery Techniques
  • Electrohydrodynamics and Fluid Dynamics
  • International Maritime Law Issues
  • Image and Object Detection Techniques
  • Material Properties and Processing
  • Adhesion, Friction, and Surface Interactions
  • Chronic Myeloid Leukemia Treatments
  • Optical measurement and interference techniques
  • Slime Mold and Myxomycetes Research
  • Nuclear Issues and Defense

Centre National de la Recherche Scientifique
2009-2019

Université Paris-Sud
2019

Inserm
2019

Laboratoire Jacques-Louis Lions
2012-2013

Sorbonne Université
2011-2012

Institut national de recherche en informatique et en automatique
2010-2012

École Nationale Supérieure de Techniques Avancées
2011

Université Claude Bernard Lyon 1
2009-2011

École Polytechnique
2011

Unité de Mathématiques Pures et Appliquées
2010

Since the mid 1970s, cancer has been described as a process of Darwinian evolution, with somatic cellular selection and evolution being fundamental processes leading to malignancy its many manifestations (neoangiogenesis, evasion immune system, metastasis, resistance therapies). Historically, little attention placed on applications evolutionary biology understanding controlling neoplastic progression prevent therapeutic failures. This is now beginning change, there growing international...

10.1111/eva.12021 article EN cc-by Evolutionary Applications 2012-11-16

Cell proliferation is controlled by many complex regulatory networks. Our purpose to analyse, through mathematical modeling, the effects of growth factors on dynamics division cycle in cell populations. work based an age-structured PDE model within a population cells common tissue. at its first stages exponential and thus characterised exponent, eigenvalue linear system we consider here, exponent that will explicitly evaluate from biological data. Moreover, this study relies recent...

10.3934/mbe.2013.10.1 article EN cc-by Mathematical Biosciences & Engineering 2012-12-05

We review the main types of mathematical models that have been designed to represent and predict evolution a cell population under action anti-cancer drugs are in use clinic, with effects on healthy cancer tissue growth, which from functional point view classically divided between ``proliferation, death differentiation''. focus here choices drug targets these models, aiming at showing they must be linked each case given therapeutic application. recall some analytical results obtained using...

10.3934/dcdsb.2013.18.865 article EN Discrete and Continuous Dynamical Systems - B 2013-01-01

In standard particle image velocimetry, the spatial resolution of velocity field depends on final window size cross-correlation. For small and micro experimental configurations, PIV measurement is often limited by optical accesses, depth focus number particles in interrogation window. With aim obtaining a one vector per pixel, single pixel correlation (SPRC) algorithm described applied to study Poiseuille flow that steady average between two close walls, which has grooves normal streamwise...

10.1088/0957-0233/15/6/002 article EN Measurement Science and Technology 2004-05-14

We propose in this article to compare the efficiency of two chemotherapeutic schedules: traditional and metronomic. For this, we develop a new mathematical model describing growth dynamics tumor endothelial cells as well impact molecules oxygen or vascular factor on dynamics. The construction: biological assumptions, description equations their discretization, constitutes core article. Numerical experiments illustrate expected behavior disease under schedules.

10.1051/proc/201341004 article EN ESAIM Proceedings 2013-12-01

Abstract The organo-osmium half-sandwich complex [(η6-p-cymene)Os(Ph-azopyridine-NMe2)I]+ (FY26) exhibits potent antiproliferative activity towards cancer cells and is active in vivo. relatively inert, but rapidly activated by displacement of coordinated iodide. Here, we study time-dependent accumulation FY26 A2780 human ovarian at various temperatures comparison with the chlorido metabolite [(η6-p-cymene)Os(Ph-azopyridine-NMe2)Cl]+ (FY25). Mathematical models described time evolution FY25...

10.1039/c9mt00173e article EN cc-by Metallomics 2019-09-17

We study proliferation in tissues from the point of view physiologically structured partial differential models, focusing on age synchronisation cell division cycle populations and its control at phase transition checkpoints. show how a recent fluorescence‐based technique (FUCCI) performed single level proliferating allows identifying model parameters it may be applied to investigate healthy cancer populations. this modelling approach designing original optimisation methods for...

10.1063/1.3637834 article EN AIP conference proceedings 2011-01-01

The main two pitfalls of therapeutics in clinical oncology, that limit increasing drug doses, are unwanted toxic side effects on healthy cell populations and occurrence resistance to drugs cancer populations. Depending the constraint considered control problem at stake, toxicity or resistance, we present different ways model evolution proliferating populations, cancer, under anti-cancer drugs. In first case, use a McKendrick age-structured cycle, whereas second evolutionary dynamics,...

10.1063/1.4756399 article EN AIP conference proceedings 2012-01-01
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