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University of Oxford Department of Computer Science
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Computational Biology and Health Informatics

The Computational Biology & Health Informatics Theme engages in biomedical and healthcare research through the development of innovative computational approaches such as multiscale modelling and simulation, medical image and signal analysis, semantics-driven technologies and software verification. Our research aims at improving the diagnosis and understanding of disease as well as the safety and efficacy of therapies. Cardiovascular, lung, bone and cancer diseases are all investigated in our Theme. The research builds on strong collaborations with clinicians, hospitals, industry and regulators in Oxford and other world-leading centres.

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All Activities

Activities

Respiratory Modelling The respiratory modelling group develops patient-specific models of t...

Read more about Respiratory Modelling

Computational Cardiovascular Science Team

Read more about Computational Cardiovascular Science Team

All Projects

Projects

Chaste A general purpose simulation package aimed at multi-scale, computationally demanding prob...

Read more about Chaste

2020 Science 2020 Science is focused on fostering the creation of a new generation of future scientifi...

Read more about 2020 Science

Target safety and efficacy evaluation in chronic heart failure using human-based modelling and simulation

Read more about Target safety and efficacy evaluation in chronic heart failure using human-based modelling and simulation

Artificial intelligence for deep phenotyping and target discovery in Heart Failure

Read more about Artificial intelligence for deep phenotyping and target discovery in Heart Failure

Chaste A general purpose simulation package aimed at multi-scale, computationally demanding prob...

Read more about Chaste

2020 Science 2020 Science is focused on fostering the creation of a new generation of future scientifi...

Read more about 2020 Science

All Publications

Publications

The Cardiac Electrophysiology Web Lab

Read more about The Cardiac Electrophysiology Web Lab

Uncertainty and variability in models of the cardiac action potential: can we build trustworthy models?

Read more about Uncertainty and variability in models of the cardiac action potential: can we build trustworthy models?

Connexin 43 contributes to electrotonic conduction across scar tissue in the intact heart

Read more about Connexin 43 contributes to electrotonic conduction across scar tissue in the intact heart

Control of NFAT Isoform Activation and NFAT−Dependent Gene Expression through Two Coincident and Spatially Segregated Intracellular Ca2+ Signals

Read more about Control of NFAT Isoform Activation and NFAT−Dependent Gene Expression through Two Coincident and Spatially Segregated Intracellular Ca2+ Signals

White Paper: Uncertainty and variability in computational and mathematical models of cardiac physiology

Read more about White Paper: Uncertainty and variability in computational and mathematical models of cardiac physiology

Hierarchical Bayesian inference for ion channel screening dose−response data

Read more about Hierarchical Bayesian inference for ion channel screening dose−response data

Recent developments in using mechanistic cardiac modelling for drug safety evaluation

Read more about Recent developments in using mechanistic cardiac modelling for drug safety evaluation

White Paper: Computational Cardiology and Risk Stratification for Sudden Cardiac Death: One of the Grand Challenges for Cardiology in the 21st Century.

Read more about White Paper: Computational Cardiology and Risk Stratification for Sudden Cardiac Death: One of the Grand Challenges for Cardiology in the 21st Century.

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