News

NCI Director Dr. Ned Sharpless and CBIIT Director Dr. Tony Kerlavage recently published an article, “The Potential of AI in Cancer Care and Research,” which takes stock of current advances in artificial intelligence and machine learning and outlines some of the areas NCI hopes to explore in greater depth in the future.

Beginning with an “analysis-first” approach, the Bridge2AI program values the machine-understandability of data and incorporates ethical principles surrounding data collection and use. See the list of upcoming June events and funding opportunities affiliated with the program.

The NIH Office of Data Science Strategy recently announced four Notices of Special Interest for administrative supplemental funding. Supplement applications are due May 2021.

This innovative team approach connects use cases with data sets to provide artificial intelligence (AI) developers with another set of resources for building AI tools to benefit radiology.

Attending the 2021 American Association for Cancer Research (AACR) Annual Meeting? Here are a few event and poster sessions you won’t want to miss to learn more about the latest NCI data science, data commons, and cancer research activities.

Applications are now being accepted for the NCI-DOE Collaboration Workshop Series on radiation oncology. Join multidisciplinary experts from basic science, clinical practice, and computational science to explore emerging and futuristic opportunities to advance radiation therapy.

NCI Director, Dr. Ned Sharpless, will serve as keynote speaker at the Sixth Computational Approaches for Cancer Workshop (CAFCW20), which will be held virtually on November 13, 2020. The CAFCW20 workshop will bring together clinicians, cancer biologists, mathematicians, data scientists, computational scientists, engineers, developers, and thought leaders interested in advancing computational approaches to better understand cancer. Abstracts may be submitted for this workshop, but they must be submitted no later than Tuesday, September 8.

An Ideas Lab is an intensive 5-day program for 30 participants (with a range of expertise and experience) to deepen their shared understanding of a complex challenge, redefine the problems within the challenge, and generate innovative ideas for research proposals. This Ideas Lab will focus on the creation of "digital twin technology."

Investigators with a wide variety of expertise, including, but not limited to, cancer biology, oncology, machine learning (or other AI), cancer systems biology, or mathematical modeling are encouraged to apply to attend the 2020 “Advancing Cancer Biology at the Frontiers of Machine Learning and Mechanistic Models” Innovation Lab.