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Robert Hinch

Researcher at University of Oxford

Publications -  23
Citations -  1124

Robert Hinch is an academic researcher from University of Oxford. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 12, co-authored 19 publications receiving 750 citations.

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Mechanisms of excitation-contraction coupling in an integrative model of the cardiac ventricular myocyte.

TL;DR: A recently developed analytical approach for deriving simplified mechanistic models of CICR is generalized to formulate an integrative model of the canine cardiac myocyte which is computationally efficient and faithfully reproduces experimentally measured properties of EC coupling and whole cell phenomena.
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A simplified local control model of calcium-induced calcium release in cardiac ventricular myocytes.

TL;DR: The resulting model, referred to as the coupled LCC-RyR gating model, successfully reproduces a range of experimental data, including L-Type Ca2+ current in response to voltage-clamp stimuli, inactivation of LCC current with and without Ca2- release from the sarcoplasmic reticulum, voltage-dependence of excitation-contraction coupling gain, graded release, and the force-frequency relationship.
Journal ArticleDOI

The epidemiological impact of the NHS COVID-19 App.

TL;DR: In this article, the authors investigated the impact of the National Health Service (NHS) COVID-19 app for England and Wales, from its launch on 24 September 2020 to the end of December 2020.
Posted ContentDOI

OpenABM-Covid19 - an agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing

TL;DR: OpenABM-Covid19 is presented: an agent-based simulation of the epidemic including detailed age-stratification and realistic social networks and its Python interface has allowed scientists and policymakers to simulate dynamic packages of interventions and help compare options to suppress the COVID-19 epidemic.
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Factors influencing meiotic recombination revealed by whole-genome sequencing of single sperm.

TL;DR: A high-resolution genetic map revealed the relationships between the distribution of crossovers, proteins involved in recombination, and specific factors determining whether a double-strand break becomes a crossover and identified four factors that strongly increase the chance that a particular DSB will resolve as a crossover.