NCI-DOE Collaboration 2020 Ideas Lab: Toward Building a Cancer Patient “Digital Twin.” An Ideas Lab to Shape the Future of Predictive Modeling Across Scales from Biology to Clinical Care

The NCI-DOE Collaboration 2020 Ideas Lab: Toward Building a Cancer Patient “Digital Twin” application deadline has been extended to 5 p.m., ET May 4!

Join a 5-day immersive workshop to develop innovative, cross-disciplinary collaborations!

 

Call for Participation in the NCI-DOE Collaboration 2020 Ideas Lab: Toward Building a Cancer Patient “Digital Twin.” An Ideas Lab to Shape the Future of Predictive Modeling Across Scales from Biology to Clinical Care

 

Ideas Lab:        An Ideas Lab is an intensive 5-day program for 30 participants with a range of expertise and experience. Over the course of the week, the group works to deepen their shared understanding of a complex challenge, redefine the problems within the challenge and generate innovative ideas for research proposals.

 

Why:                 Form new, multidisciplinary teams and receive guidance from mentors to develop innovative research projects. Projects will focus on a digital twin component that, within the next 2-3 years, will advance the development of a model of an individual cancer patient.

 

Who:                 U.S. and international cancer researchers, clinicians, biomedical engineers, bioinformaticians, AI researchers, data scientists, computational scientists and mathematical modelers—including mechanistic, data-driven and multi-scale modelers

 

When:               July 6-10, 2020

 

Where:             Virtual, no need to travel

 

How:                 Apply online by Monday, May 4th. In an effort to democratize participation and ensure diverse representation across areas of expertise, research backgrounds and career-stage, we have instituted a simple application process, and the application is available at this link: https://events.cancer.gov/cbiit/dtwin2020/registration

 

For more information and to apply: visit the event site.

Spread the word! Please forward this email and flyer to your colleagues, associations and anyone who may be interested.

 

Application deadline: 5 PM ET - Monday, May 4th 2020Apply Now »     Applicants must be available to participate in all five days.

 

NOTE: The Ideas Lab is intended as an in-person meeting. We understand that during this unprecedented time, you may be anxious about committing to an event that requires traveling. As such, we are actively monitoring the COVID-19 pandemic and are prepared to host the Ideas Lab as a virtual meeting if the need arises. Please apply if you can attend the entire meeting and indicate in the application if you can only attend as a virtual participant. We will make a final decision on the format of the meeting (in-person or virtual) by June 1st.

 

The NCI-DOE Collaboration 2020 Ideas Lab: Toward Building a Cancer Patient “Digital Twin” application deadline has been extended to 5 p.m., ET May 4th!

 

Overview

Since 2016, the National Cancer Institute and the U.S. Department of Energy have been collaborating in the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) program to simultaneously accelerate advances in predictive oncology and computing. Current JDACS4C partners include the National Cancer Institute, the U.S. Department of Energy, Frederick National Laboratory for Cancer Research, and four DOE National Laboratories—Argonne, Lawrence Livermore, Los Alamos and Oak Ridge.

 

A multidisciplinary community arose from that collaboration and produced a report of the first meeting in March 2019. Participants identified aspirational cancer challenges that require shared efforts across cancer research, artificial intelligence, and advanced computing technologies. This Ideas Lab will focus on one of those complex challenge areas, Creating Digital Twin Technology.

 

Digital twins of the future will be patient-tailored models that:

  • Can be used to evaluate potential preventative and/or therapeutic plans
  • Incorporate information across length and time scales
  • Continually integrate new data and knowledge
  • Help clinicians and patients understand the risks and benefits of a particular treatment plan that best meets the patient’s objectives
Meeting Date
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Virtual, no need to travel
Registration Deadline
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