DENIS@home: Difference between revisions

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== Methods ==

~~Electrophysiological models are~~ a ~~powerful tool to study the electrical activity of cardiac cells under normal or pathological conditions. These models~~ can also help predict the effects of drugs in the heart. These models are complex and 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 perfect solution to distribute the work to ~~volunteer computers~~.

In DENIS@home you can run different research projects. Each one uses a different application that you can choose to run.

~~impactful final statement~~

* '''[https://denis.usj.es/denisathome/projects.php#DENIS_Myocyte_Beta ''Beta of DENIS-myocyte (DENIS_Myocyte_Beta)'']''': Beta version of the simulator used for all the DENIS@home applications. Every modification of the simulator is tested under this application.

* '''[https://denis.usj.es/denisathome/projects.php#NHuVe ''New human ventricular cell model (NHuVe)'']''': Development of a new version of the model proposed by Carro et. al (2011).

* '''[https://denis.usj.es/denisathome/projects.php#HuVeMOp ''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 to achieve that high computational power.

== Project team / Sponsors ==

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

Universidad San Jorge.

== Scientific results ==

* external links

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

== Scientific publications ==

https://boinc.berkeley.edu/pubs.php#DENIS@home

@@ Line 15: / Line 15: @@
 == Methods ==
-Electrophysiological models are a powerful tool to study the electrical activity of cardiac cells under normal or pathological conditions. These models can also help predict the effects of drugs in the heart. These models are complex and 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 perfect solution to distribute the work to volunteer computers.
+In DENIS@home you can run different research projects. Each one uses a different application that you can choose to run.
-impactful final statement
+* '''[https://denis.usj.es/denisathome/projects.php#DENIS_Myocyte_Beta ''Beta of DENIS-myocyte (DENIS_Myocyte_Beta)'']''': Beta version of the simulator used for all the DENIS@home applications. Every modification of the simulator is tested under this application.
+* '''[https://denis.usj.es/denisathome/projects.php#NHuVe ''New human ventricular cell model (NHuVe)'']''': Development of a new version of the model proposed by Carro et. al (2011).
+* '''[https://denis.usj.es/denisathome/projects.php#HuVeMOp ''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 to achieve that high computational power.
 == Project team / Sponsors ==
+Jesús Carro. Violeta Monasterio. Alejandro Alcaine. Marta Gómez.
+Universidad San Jorge.
 == Scientific results ==
-* external links
+https://denis.usj.es/denisathome/publications.php
 == Scientific publications ==
 https://boinc.berkeley.edu/pubs.php#DENIS@home