DENIS@home

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DENIS@home is a volunteer distributed computing project that needs your help to investigate cardiovascular diseases (CVDs).

Why DENIS@home?

More than 17 million people die each year of cardiovascular diseases. That represents 31% of all global deaths, making these diseases the leading cause of death worldwide.

Goal

The five pillars of DENIS@home are:

• Distributed computing
• Electrophysiological models
• Networking collaboration
• In silico research
• Sharing knowledge

Methods

With a simple check of a box, DENIS@home volunteers have a choice to run one or more of these applications:

• Beta of DENIS-myocyte (DENIS_Myocyte_Beta): Beta version of the simulator used for all DENIS@home applications. Every modification of the simulator is tested under this application.
• New human ventricular cell model (NHuVe): Development of a new version of the model proposed by Carro et. al (2011).
• Human ventricular cell models optimization (HuVeMOp): Optimization of the public and most used human ventricular cell models for the representation of electrophysiological markers.

Electrophysiological models are a powerful tool to study the electrical activity of cardiac cells under normal or pathological conditions and can also help predict the effects of drugs in the heart. Because these models are complex, it's necessary to simulate them many times (varying the conditions or model parameters). For this reason, researchers in this field usually require high computational power and BOINC is the perfect solution to distribute the work to volunteer computers and achieve that high computational power.

Project team / Sponsors

Jesús Carro. Violeta Monasterio. Alejandro Alcaine. Marta Gómez.

Universidad San Jorge.

Scientific results

https://denis.usj.es/denisathome/publications.php

Scientific publications

Research results from DENIS@home

1. J. Carro (2019). New Methodologies for the Development and Validation of Electrophysiological Models. PhD Thesis (2019).
2. J. Carro, J.F. Rodríguez-Matas, E. Pueyo (2017). A Methodology to Improve Human Ventricular Models for the Investigation of Cardiac Arrhythmias. Biophysical Journal. DOI: 10.1016/j.bpj.2016.11.2183.

Research results using DENIS@home software

1. M. Gomez, J. Carro, E. Pueyo, V. Monasterio (2022) An in Silico Investigation into the Role of SK Channels in Failing Ventricular Myocytes. Proceedings of the XLVIII International Conference on Computing in Cardiology. Tampere, Finland DOI: 10.22489/CinC.2022.228.
2. M. Gomez, J. Carro, V. Monasterio, E. Pueyo (2022). Investigación in silico sobre el papel de los canales SK en miocitos ventriculares de pacientes con insuficiencia cardiaca. Jornada de Jóvenes Investigadores e Investigadoras del I3A (ISSN:2341-4790) Vol. 10 (2022): Actas de la XI Jornada de Jóvenes Investigadores e Investigadoras del I3A - 16 de junio de 2022. DOI: 10.26754/jjii3a.20227021.
3. M. Gómez, J. Carro, E. Pueyo, V. Monasterio (2021) Modificación de un modelo de miocito ventricular humano para representar el papel de los canales SK en insuficiencia cardiaca. XXXIX Congreso de la Sociedad Española de Ingeniería Biomédica CASEIB. Madrid, España.

Publications about DENIS@home

1. V. Monasterio, J. Castro-Mur, J. Carro (2018). DENIS: Solving cardiac electrophysiological simulations with volunteer computing. PLoS ONE 13(10): e0205568. DOI: 10.1371/journal.pone.0205568.
2. J. Castro-Mur, V. Monasterio, J. Carro (2016). Volunteer Computing Approach for the Collaborative Simulation of Electrophysiological Models. IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), Paris, France, 2016, pp. 118-123, DOI: 10.1109/WETICE.2016.34.