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Apply for the NCI Early Investigator Advancement Program 

The Early Investigator Advancement Program (EIAP) will accept applications from October 1 – November 1, 2022 for its second cohort of EIAP Scholars. With the support of the Equity Council, NCI launched EIAP in late 2021 to facilitate the advancement of scientists from diverse backgrounds to become independent investigators. Each year, EIAP supports the professional and career development of a cohort of eligible…

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NIH launched the Long COVID Computational Challenge, which will award up to $500k in support of data-driven solutions that help us understand the risks of developing the condition. The primary objective of the Long COVID Computational Challenge (L3C) is to focus on the prognostic problem by developing AI/ML models and algorithms that serve as open-source tools for using structured medical records to identify which patients infected with SARS-CoV-2 have a high likelihood of developing PASC/Long…

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Workshop Series

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:

March 10, 2021, The Biological Machinery for Advancing Radiation Oncology: Mechanisms, Systems and Simulations (Topic Hosts: Michael Espey, PhD, and Cynthia Keppel, MSc, PhD)

March 12, 2021, The Frontiers of Computational Modeling and Simulations in Multiscale Radiation Oncology (Topic Hosts: Nathan Moore, PhD, and Matthew Coleman, PhD)

March 18, 2021, Learning from Care Delivery: The How and Why of Multi-omics, Biomarkers and Prediction for Radiation Oncology (Topic Hosts: Maximilian Diehn, MD, PhD, and Greeshma Agasthya, PhD)

March 19, 2021, Multimodal Patient Trajectories: Individual Predictive Modeling (Topic Hosts: David Jaffray, PhD; Christopher Hartshorn, PhD; and Georgia Tourassi, PhD)

March 29, 2021, World Café-style* Workshop – Fusion of the Half-day Workshops Culminating in a Directional Whitepaper on The Future of Data and Computing-Enabled Radiation Oncolog

Watch the event Kickoff Video to hear from global experts in Artificial Intelligence, Computing & Radiation. 

Speakers Included:

Purpose of the Workshop Series

Explore emerging and futuristic opportunities among DOE, NCI, and partner institutions to advance radiation therapy. Essential components include:

  • Personalized, adaptive, improved treatment through understanding and development of mechanism-based, computationally enabled modeling
  • Advanced computing to achieve dynamic, multiscale, data-informed, clinically actionable predictions and decision making

Anticipated Outcomes

  • Creation of scope and goals for potential new NCI-DOE Collaboration projects
  • Development of a multi-institutional report with a visionary perspective
  • Opportunities to engage and collaborate with cross-domain researchers and clinicians

This workshop series offered an opportunity to determine a roadmap for cutting-edge, multidisciplinary research that will drive the development of new paradigms in radiation oncology.

Who attended?

  • U.S. and international researchers and clinicians at all levels of seniority with diverse expertise across the continuum of cancer research, radiology, artificial intelligence, scientific computing, data science, biomedical engineering, bioinformatics, physics, and mathematical modeling—including mechanistic, data-driven, and multi-scale modeling
  • People who are passionate about accelerating cancer research and excited about exploring how emerging technology can advance radiation oncology and precision cancer medicine

* A World Café is a discussion format for a challenge or vision that calls for a broad range of disciplines (or diverse set of stakeholders) to all contribute to a vision or plan. A World Café groups each of these stakeholder groups or disciplines together, and then rotates the topic moderators around to each group to consult with each group, developing the vision or plan in an iterative fashion.

Questions? Contact ECICC_Community@nih.gov

Created by Petrina Hollingsworth Last Modified Tue April 26, 2022 8:02 pm by Lynn Borkon