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Tag Archives: validation
Our new review on fitting cardiac models
A reasonably short post to let you know about our recently published paper in WIREs Systems Biology and Medicine on parameter fitting in cardiac ion channel and action potential models with David Christini. There is an accessible introductory news article … Continue reading
Job Available: Statistical inference for mechanistic models
N.B. Applications for this position are now closed. We are offering a 3 year position as a research fellow in statistical inference for mechanistic models. This is offered at either Postdoc or Senior postdoc level (equivalent grade to Assistant Professor) … Continue reading
Posted in Action Potential Models, Drug action, Experimental Design, Ion Channel Models, Model Development, Numerics, Stats and Inference
Tagged Bayesian Inference, calibration, identifiability, inference, inverse problem, job, jobs, model complexity, model construction, model discrepancy, model selection, parameter fitting, validation
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Short and rich voltage-clamp protocols
This is a quick post to tell you all about Kylie’s new paper on sinusoidal-wave based voltage clamp protocols that has been published in the Journal of Physiology, and there’s an associated commentary from Ele Grandi. In the paper, some … Continue reading
Posted in Experimental Design, Future developments, Ion Channel Models, Model Development, Stats and Inference
Tagged Bayesian Inference, Cardiac electrophysiology, hERG, identifiability, IKr, inference, inverse problem, ion channel, model, model construction, parameter fitting, parameterisation, validation
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Is your model really ‘comprehensive’?
I’ve noticed more and more papers using the phrase “comprehensive model”. This phrase grates every time, and this post is about why. I thought this might just be me getting old and grumpy, so I plotted the mentions of the … Continue reading
Posted in Blog, Model Development, Silly
Tagged model comparison, model construction, Models, opinion, Silly, validation
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Are 30 compounds enough to test our simulations?
I’ve just contributed to a new review ‘Recent developments in using mechanistic cardiac modelling for drug safety evaluation’, which discusses where we are with using mathematical models of the electrical activity of cardiac muscle cells to predict whether new drugs … Continue reading
Model Complexity
We’ve been thinking about how to parameterise/train/calibrate models, and also how to select an appropriate model to begin with. This raises all sorts of interesting questions on the details, but this post is just about setting out a big overview … Continue reading