2020 MSM Submission Instructions

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2020 IMAG-AND

You DON'T need to submit an abstract to attend the meeting

You DON'T need to register to submit an abstract for review or to submit a trainee travel award application

You DO need to submit an abstract to submit a trainee travel award application

OpenSim Webinar: Computational Models of Reaching to Test Hypotheses in Motor Control

In this webinar, Dr. Al Borno will share the computational results leading to this theory and describe the experimental verification using neural recordings from rhesus monkeys. He will also highlight their computational experiments to determine whether synergies introduce task performance deficits, facilitate the learning of movements, and generalize to different movements.

SPARC Portal

What is being modeled?
autonomic nervous system control of organ function
Description & purpose of resource

The SPARC Portal provides interactive access to a growing collection of data, maps, and computational studies generated by researchers funded through the NIH SPARC program. These resources focus on the role of the autonomic nervous system in controlling organ function and are made available to the public with the intent of advancing bioelectronic medicine towards more precise treatment of diseases and conditions.

Included in the resource is a powerful computing platform called o2S2PARC, which enables modeling, simulation, data analysis, and visualization directly within your web browser. A growing list of curated computational studies from various SPARC-funded teams is available for virtual experimentation on o2S2PARC.

Spatial scales
molecular
cellular
tissue
organ
whole organism
Temporal scales
10-6 - 10-3 s
10-3 - 1 s
1 - 103 s
hours
days
weeks to months
This resource is currently
under early-stage development
a demonstration or a framework to be built upon (perhaps with a sample implementation)
likely to be usable without detailed knowledge of its internals
DOI link to publication describing this resource

not yet available

Link to resource
SPARC Portal
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PhD Student Symposium @ Cleveland Clinic

With the goal to recruit top PhD students to complete their postdoctoral training at the Cleveland Clinic, Cleveland Clinic Lerner Research Institute has started expenses paid Morgenthaler Symposium. This year's theme is Cardiovascular Research. If you have any students in cardiovascular research, who would like to showcase their work and learn more about the Cleveland Clinic, this will be a great opportunity. For applications, see the attached flyer, or directly go to http://bit.ly/MorgenthalerApplication

Opportunity for experienced data scientists at NIH: DATA Scholar Program: Deadline April 30th

NIH is soliciting Data Scholars! The BRAIN WORKS idea, was inspired by the contributions of the DARPA ASKE program and performers during the October 2019 IMAG ML-MSM meeting. The other 10 ideas are detailed in the job announcement link below. Please feel free to circulate and present the attached slide at your next meeting!

EDGAR Electrocardiographic Imaging Database

What is being modeled?
Data to validate and develop ECG Imaging approaches
Description & purpose of resource

The Experimental Data and Geometric Analysis Repository (EDGAR) is a free, web-based repository hosted by the SCI Institute at the University of Utah. The purpose of EDGAR is to share and collate electrocardiological data, specifically for the validation and advancement of electrocardiographic imaging (ECGI) problems amongst a worldwide consortium of academic institutions. This repository is coordinated through the Consortium for ECG Imaging (www.ecg-imaging.org) and we encourage all users of the resource to acknowledge the role of this group in their research.

Spatial scales
organ
whole organism
Temporal scales
10-3 - 1 s
1 - 103 s
This resource is currently
mature and useful in ongoing research
Has this resource been validated?
Yes
How has the resource been validated?

The data sets either come from experiments or from simulations and the accuracy has been validated by users from the CEI.  Whenever an error is found, the CEG team responds with corrections and updates. 

Can this resource be associated with other resources? (e.g.: modular models, linked tools and platforms)
Yes
Which resources?

Image-based modeling and simulation tools from the Center for Integrative Biomedical Computing (CIBC) the SCI Institute, University of Utah.

Key publications (e.g. describing or using resource)

Aras, K., Good, W., Tate, J., Burton, B., Brooks, D., Coll-Font, J., … Macleod, R. (2015). Experimental Data and Geometric Analysis Repository - EDGAR. Journal of Electrocardiology, 48(6), 975–981. https://doi.org/10.1016/j.jelectrocard.2015.08.008

DOI link to publication describing this resource

https://doi.org/10.1016/j.jelectrocard.2015.08.008

Link to resource
http://edgar.sci.utah.edu
Collaborators
Rob MacLeod
PI contact information
http://www.sci.utah.edu/~macleod
Keywords
cardiac modeling, Electrocardiology, ECGI, inverse problems
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