Louise Bowler

ORCID: 0000-0002-4910-9205
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About
Contact & Profiles
Research Areas
  • Neuroscience and Neural Engineering
  • Cardiac electrophysiology and arrhythmias
  • Microfluidic and Bio-sensing Technologies
  • Analog and Mixed-Signal Circuit Design
  • Data Quality and Management
  • Privacy-Preserving Technologies in Data
  • Traffic Prediction and Management Techniques
  • 3D Printing in Biomedical Research
  • Electrohydrodynamics and Fluid Dynamics

University of Oxford
2016-2020

Chaste (Cancer, Heart And Soft Tissue Environment) is an open source simulation package for the numerical solution of mathematical models arising in physiology and biology. To date, development has been driven primarily by applications that include continuum modelling cardiac electrophysiology ('Cardiac Chaste'), discrete cell-based soft tissues ('Cell-based ventilation lungs ('Lung Chaste'). Cardiac addresses need a high-performance, generic, verified framework freely available to...

10.21105/joss.01848 article EN cc-by The Journal of Open Source Software 2020-03-13

Distinct electrophysiological phenotypes are exhibited by biological cells that have differentiated into particular cell types. The usual approach when simulating the cardiac electrophysiology of tissue includes different types is to model as occupying spatially distinct yet coupled regions. Instead, we well-mixed using homogenisation derive an extension commonly used monodomain or bidomain equations. These new equations permit spatial variations in distribution subtypes and will reduce...

10.1007/s11538-018-0516-1 article EN cc-by Bulletin of Mathematical Biology 2018-10-05

Synthetic datasets are often presented as a silver-bullet solution to the problem of privacy-preserving data publishing. However, for many applications, synthetic has been shown have limited utility when used train predictive models. One promising potential application these is in exploratory phase machine learning workflow, which involves understanding, engineering and selecting features. This considerable time, depends on availability data. There would be substantial value that permitted...

10.48550/arxiv.2203.01363 preprint EN other-oa arXiv (Cornell University) 2022-01-01
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