Announcements

Integrating Machine Learning with Multiscale Modeling for Biomedical, Biological, and Behavioral Systems (2019 ML-MSM)

Integrating Machine Learning with Multiscale Modeling for Biomedical, Biological, and Behavioral Systems (2019 ML-MSM)

https://www.imagwiki.nibib.nih.gov/sites/default/files/imag-oct-meet-web-02.jpg

Registration is open!

Integrating Machine Learning with Multiscale Modeling for Biomedical, Biological, and Behavioral Systems, co-chairs:  Ellen Kuhl, Suvranu De

Goals: this meeting focuses on integrating machine learning methods with multiscale modeling methods guided by the fundamental principles of mathematics and physics.

Objectives: to identify the perspectives, challenges, and opportunities of integrating machine learning with multiscale modeling (ML-MSM) in biomedical, biological, and behavioral systems.

•Four methodologies for ML-MSM modeling: ordinary differential equation (ODE), partial differential equation (PDE), theory-driven, and purely data-driven approaches

•Two application contexts: Digital Twins and Human Safety

2019 ML-MSM Meeting, October 24-25, 2019, Bethesda, Maryland (NIH Campus)

October 1, 2019  - Last day to register online – Register early to participate in pre-meeting activities

Join an Interactive Virtual MicroLab on Cancer Challenges and Advanced Computing: Sept 25, 3:00 – 4:30 pm ET

If you are interested in shaping future research in computational oncology, please join our next interactive virtual MicroLab on Cancer Challenges and Advanced Computing: September 25th, 3:00 – 4:30 PM ET.  NO TRAVEL REQUIRED.

Sponsored by: The Envisioning Computational Innovations for Cancer Challenges Community (ECICC), comprised of clinicians, cancer researchers, and computational scientists representing over 50 organizations! The ECICC community arose from a collaborative program between the National Cancer Institute (NCI) and the Department of Energy (DOE), Joint Design of Advanced Computational Solutions for Cancer (JDACS4C), to simultaneously accelerate advances in precision oncology and computing.

How it Works: Participants will work in small, multi-disciplinary teams - in virtual breakout groups - to create new use cases and identify critical next steps.

Read more about it and register for the MicroLab on September 25th. Help shape future research in computational oncology!

Please send the attached flyer to any colleagues who may be interested in participating. Flyer - Sept 25 MicroLab.pdf

For more information visit the ECICC Community hub site

Questions? Contact ECICCcommunity@nih.gov

Biomechanics experts sought for machine learning challenge to simulate gait

Round One Entries Due: October 13, 2019

Seungmoon Song and Łukasz Kidziński, postdoctoral fellows at Stanford University, are organizing a scientific challenge to develop a controller that enables a 3D human model to walk. Based on the OpenSim platform, this challenge is one of the official competitions at Neural Information Processing Systems (NeurIPS) 2019.

The challenge this year includes a separate track for the most novel biomechanics solution. Prizes include an Xsens 3D motion capture suit and software license. Winners will also be invited to submit their solution to the Journal of NeuroEngineering and Rehabilitation and publish with no fee, if accepted.

Details on how to participate, including information on free resources to get started, are available at the NeurIPS 2019: Learn to Move Challenge website. You can learn more about reinforcement learning and the challenge in our past webinar, Robust Control Strategies for Musculoskeletal Models Using Deep Reinforcement Learning.

Special Issue/ Book Released: Methods in Computational Biology

Special issue/book: Methods in Computational Biology has been printed. Many MSM researchers contributed to the issue, was edited by Ross Carlson and Herbert Sauro. https://www.mdpi.com/books/pdfview/book/1403

Integrating Machine Learning with Multiscale Modeling for Biomedical, Biological, and Behavioral Systems

Registration is open!

Integrating Machine Learning with Multiscale Modeling for Biomedical, Biological, and Behavioral Systems, co-chairs:  Ellen Kuhl, Suvranu De

Goals: this meeting focuses on integrating machine learning methods with multiscale modeling methods guided by the fundamental principles of mathematics and physics.

Objectives: to identify the perspectives, challenges, and opportunities of integrating machine learning with multiscale modeling (ML-MSM) in biomedical, biological, and behavioral systems.

•Four methodologies for ML-MSM modeling: ordinary differential equation (ODE), partial differential equation (PDE), theory-driven, and purely data-driven approaches

•Two application contexts: Digital Twins and Human Safety

2019 ML-MSM Meeting, October 24-25, 2019, Bethesda, Maryland (NIH Campus)

September 1, 2019 !!Calling all graphic artists!!  Last day to submit ideas for the meeting logo!  Submit to NIBIBimag@mail.nih.gov

October 1, 2019  - Last day to register online – Register early to participate in pre-meeting activities

 

 

Mechanistic modeling is an integral part of contemporary bioscience, used forhypothesis generation and testing, experiment design and interpretation and the design of therapeuticinterventions. The CompuCell3D modeling environment allow researchers with modest programingexperience to rapidly build and execute complex Virtual Tissue simulations of development,homeostasis, toxicity and disease in tissues, organs and organisms, covering sub-cellular, multi-celland continuum tissue scales. Virtual Tissue simulations developed using CompuCell3D run onWindows, Mac and Linux. CompuCell3D is open source, allowing users to extend, improve, validate,modify and share the core software. For more information please visit: www.compucell3d.org

Goal: By the end of this one-week course, participants will have implemented a basic simulation oftheir particular biological problem of interest. Post-course support and collaboration will be available tocontinue simulation development.

Topics: Python scripting. Introduction to Reaction-Kinetics (RK) models. Introduction to SBML.Introduction to Virtual-Tissue simulations. Introduction to CompuCell3D. Basics of model building.Combining RK and Virtual-Tissue models. Extending CompuCell3D. Building a basic simulation of yoursystem.

Format: The workshop will include a limited number of lectures and numerous hands-on computertutorials. Each attendee will also present a mini-talk on their problem of interest. There will beconcurrent sessions for basic and advanced modelers.

Instructors: James A. Glazier (Indiana University), Julio Belmonte (North Carolina State University),Maciek Swat, Juliano Gianlupi (Indiana University), Andy Somogyi (Indiana University), James Sluka (Indiana University).

Target Audience: Experimental Biologists, Medical Scientists, Biophysicists, Mathematical Biologistsand Computational Biologists from advanced undergraduates to senior faculty, who have an interest indeveloping multi-scale Virtual-Tissue simulations, or learning how such simulations might help theirresearch. No specific programming or mathematical experience is required, though familiarity with amodeling environment (e.g. Mathematica®, Maple®, Python, or Matlab®) and how to represent basicconcepts like diffusion and chemical reactions mathematically, will be helpful. Note: An Introductory Python Tutorial will take place on August 11th. If you already know Python, youmay skip this part of the workshop.

Fees: There is no registration fee. We will provide coffee, tea, lunch, snacks and workshop materials.

Registration: Enrollment is limited and by application only. Kindly apply online with a c.v., a briefstatement describing your current research interests and the specific problem you would like to model.Students should also include a letter of support from their current advisor. Please submit all applicationmaterials electronically at https://goo.gl/forms/lGMPVFrjhHZFyGdJ3 by June 10, 2019.

Facilities: The workshop will be held at Indiana University, Bloomington, IN, USA. The nearest airportis Indianapolis, IN. Participants will be able to connect to the Internet using their own laptops.

For more information, please contact: CompuCell3D Team (compucell3d.iu@gmail.com).

2019 IMAG Multiscale Modeling Consortium (MSM) Meeting

2019 IMAG’s NEXT TOP MODEL Video Competition

Links to the Winning Top Model videos are here!

Our multiscale modeling community does amazing, world-changing research, and in order to maximize its impact we are compelled to share it with the lay public and within our own community. In order to facilitate this sharing, IMAG’s Public Dissemination & Education (PDE) Task Force has launched this inaugural NEXT TOP MODEL Video Competition. We invite anyone who is doing research related to computational modeling to produce a short, promotional and educational video that describes your research and its impact for a lay audience (i.e. 5th grade education level).

 

Submitted videos will be eligible for posting on IMAG’s YouTube channel, and judged according to the rubric below by a panel of judges, including the co-leads of the PDE Task Force (Shayn Peirce-Cottler, Silivia Blemker, David Basanta, and Andrew McCulloch), high school science teachers, and high school students. Prizes (listed below) will be awarded to the top three videos.

Questions? Please contact Shayn Peirce-Cottler (shayn@virginia.edu)

Click here for more details: https://www.imagwiki.nibib.nih.gov/imag-events/2018-imag%E2%80%99s-next-...

--------------------------------------------------------------------------------------------------------------------------

ELEVATING MATHEMATICS VIDEO COMPETITION

The mathematical sciences are part of everyday life. Modern communication, transportation, science, engineering, technology, medicine, manufacturing, security, finance, and many other disciplines depend on the mathematical sciences, even if we don’t always realize it. It is important for mathematical researchers to convey the importance of their work to diverse audiences. This often comes down to being able to quickly and simply describe what you are doing and why.


With that in mind, the National Academies’ Board on Mathematical Sciences and Analytics (BMSA) invites early career professionals and students who use mathematics in their work to submit short video “elevator speeches” describing how their work in mathematics is important and relevant to our everyday lives. This can be an unedited selfie video, an animation, or any other format. We just want to learn about why your work is important in 1-2 minutes.

The winning video will be announced and played during the 2019 SIAM Conference on Computational Science and Engineering in Spokane, Washington. The winning participant will receive $1000 and be featured on our website. You do not need to attend the conference or be a SIAM member to participate.

2019 MSM Consortium Meeting dates are set!

MARK YOUR CALENDARS!

Wednesday March 6th, 2019- 8:30am to Thursday March 7th, 2019- 5:30pm

Co-chairs: Bruce Lee, MD, MBA and Jeff Holmes, MD, PhD

2018 IMAG Futures Meeting - archived information

Archived Videocast from March 21, 2018

https://videocast.nih.gov/summary.asp?Live=27407&bhcp=1

Presentations and Discussions on the IMAG wiki agenda pages

 #MSM2018 Twitter feed

    

Goals and Objectives

Check-in on 2009 IMAG Futures challenges

Explore convergence of mechanistic, causal and predictive models

Produce 2018 IMAG Futures challenges

Interactive Agenda

Meeting Wikipage

View Attendees and Presentations