Check out this commentary written by members of the ECICC Community and appearing in Nature Medicine that describes how digital twins can transform cancer care. 

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The NIH Office of Data Science Strategy is seeking a Supervisory Health Scientist Administrator to lead the office’s AIM-AHEAD program. The Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity Program is a flag-ship initiative at the intersection of artificial intelligence and health equity. This program establishes mutually beneficial and coordinated partnerships to increase the participation and representation of researchers and…

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Welcome to the Envisioning Computational Innovations for Cancer Challenges Hub Site

The Envisioning Computational Innovations for Cancer Challenges (ECICC) is dedicated to accelerating computational oncology and developing research collaborations across cancer and computational sciences. We invite you to join us!

The ECICC Community arises from a collaborative program between the National Cancer Institute (NCI) and the Department of Energy (DOE), Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) to simultaneously accelerate advances in precision oncology and computing.

Highlights

In May 2021, leaders of the NCI-DOE Collaboration presented at the American Association for Cancer Researchers (AACR) Annual Meeting. Watch the presentation.

In March 2021, Four Interactive, Multidisciplinary Workshops + a World Café* were held to help shape a “Blue-Sky” vision for the future of Radiation Oncology. 

On July 6-10, 2020, we held the NCI-DOE Collaboration 2020 Ideas Lab: Toward Building a Cancer Patient “Digital Twin,” a 5-day workshop to develop innovative cross-disciplinary collaborations and shape the future of predictive modeling across scales from biology to clinical care. 

  • For more information, Ideas Lab
  • A Micro LabToward Building a Cancer Patient “Digital Twin": A Preview of the July Ideas Lab, was held on April 23, 2020. 
  • A kickoff meeting of the funded Digital Twin Project Teams was held on April 9, 2021.

In March 2019, we held a multi-disciplinary, highly interactive Scoping Meeting at the Lawrence Livermore National Laboratory’s Livermore Valley Open Campus. Cancer, data, and computational scientists from all career stages worked collaboratively to identify cancer challenge areas that push the limits of current cancer research computational practices and compel the development of innovative computational technologies. 

Building on the cancer challenges identified at the Scoping Meeting, we held a series of virtual interactive Micro Labs on Cancer Challenges and Advanced Computing to continue the discussions:

  • 1st MicroLab, June 2019: See information about our 1st Micro Lab

  • The 2nd MicroLab was held on September 25, 2019, 3:00 – 4:30 pm ET.  Based on the breakout discussions from the first Micro Lab, participants developed use cases and identified critical next steps to shape future research in computational oncology! Download the presentations from the September Micro Lab on Cancer Challenges and Advanced Computing.

 

 

If you are interested in learning more or joining this multi-disciplinary community, please contact ECICC_Community@nih.gov.

Created by Carolyn Kelley Klinger Last Modified Wed May 19, 2021 3:39 pm by Petrina Hollingsworth