Rad Onc flyer

Rad Onc Flyer.pdf

Conference, Meeting, Workshop, and Poster Session Registration Generic Clearance (OD)

Rad Onc flyer

OMB: 0925-0740

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Interested in Shaping the Future of Radiation
Oncology through Advanced Computing and AI?
SAVE THE DATE for the Kickoff Virtual Workshop:
January 29, 1:30 pm – 3:30 pm ET!

What: A series of visionary, interactive workshops—a cutting-edge exploration of transformative multidisciplinary

approaches that exceed the current paradigm in radiation oncology.

Origin: Since 2016, the National Cancer Institute (NCI) and the U.S. Department of Energy (DOE) have been collaborating on the
Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) program whose mission is to simultaneously accelerate
advances in predictive oncology and computing. Advancing development of radiation oncology is an emerging focus area.

Purpose: 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; and
Advanced computing to achieve dynamic, multiscale, data-informed, clinically actionable predictions and decision
making

Outcomes: Creation of scope and goals for a potential new NCI-DOE Collaboration project and development of a whitepaper
aimed at driving the future of radiation oncology.

Join the Kickoff (http://bit.ly/37XqsV5) on January 29, 1:30 pm – 3:30 pm ET!
Leading experts will set the stage for
The Future of Computing & AI in Radiation Oncology
Also Mark your Calendars for the follow-on virtual interactive workshops and the final World Café!
March 10, 2021
1:00 pm – 5:00 pm ET

New Data and New Observations: Radiobiology Endpoints for Enhancing Radiotherapy,
Chemotherapy and Immunotherapy Treatment

March 12, 2021
1:00 pm – 5:00 pm ET

Frontiers of HPC Modeling and Simulations for Multiscale Radiation

March 18
1:00 pm – 5:00 pm ET

Biomarkers for Radiation Oncology and Machine Learning

March 19
1:00 pm – 5:00 pm ET

Multimodal Patient Trajectories—Modeling and Predictive Modeling for Clinical Impact

March 29
12:00 pm – 6:00 pm ET

World Café-style Workshop—Culmination (full day)

Watch for registration details coming soon and
Please send to anyone who may be interested!
Link to flyer: http://bit.ly/radiation_onc_flyer
Questions? Contact [email protected]


File Typeapplication/pdf
AuthorBorkon, Lynn (NIH/NCI) [C]
File Modified2021-01-05
File Created2021-01-05

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