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Register to attend the 2022 Technology Showcase. The annual Technology Showcase, scheduled for September 7, 2022, will highlight how to work with the National Cancer Institute (NCI) and Frederick National Laboratory. It will feature technologies being developed at the NCI and FNL to encourage start-up company formation, technology licensing and collaborations. 

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Compete in the MICCAI 2022 Federated Learning Breast Density Challenge

Register for the Challenge: Submit your federated learning (FL) algorithm to the Breast Density FL Challenge! Data scientists, informaticists, and medical physicists are invited to develop the best, most generalizable models for breast density estimation using distributed or federated learning. During the challenge, participants will develop, train, and test models against digital mammographic imaging…

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Are you an academic scientist ready to commercialize your cancer technology through entrepreneurship? Apply for the NCI Small Business Transition Grant to help you jump from academia to industry. This unique fast-tracked funding opportunity begins as a Phase I Small Business Technology Transfer (STTR) award and transitions into to a Phase II Small Business Innovation Research (SBIR) award. Awardees will receive up to $400,000 for Phase I STTR and up to $2 million for Phase…

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Are you an academic scientist ready to commercialize your cancer technology through entrepreneurship? Apply for the NCI Small Business Transition Grant to help you jump from academia to industry. This unique fast-tracked funding opportunity begins as a Phase I Small Business Technology Transfer (STTR) award and transitions into to a Phase II Small Business Innovation Research (SBIR) award. Awardees will receive up to $400,000 for Phase I STTR and up to $2 million for Phase II. For more information, please visit the Small Business Transition Grant page at sbir.cancer.gov/funding/sbtg. Applications due August 22, 2022.

Compete in the MICCAI 2022 Federated Learning Breast Density Challenge

Register for the Challenge: Submit your federated learning (FL) algorithm to the Breast Density FL Challenge! Data scientists, informaticists, and medical physicists are invited to develop the best, most generalizable models for breast density estimation using distributed or federated learning. During the challenge, participants will develop, train, and test models against digital mammographic imaging screening trial (DMIST) data from more than 33 institutions totaling to 100,000 images from more than 21,000 patients. Participants can submit their models for ranking and validation starting on August 5, 2022. Winners will share their proceedings at the 2022 Medical Image Computing and Computer Assisted Intervention (MICCAI) Conference. For additional information

Register to attend the 2022 Technology Showcase. The annual Technology Showcase, scheduled for September 7, 2022, will highlight how to work with the National Cancer Institute (NCI) and Frederick National Laboratory. It will feature technologies being developed at the NCI and FNL to encourage start-up company formation, technology licensing and collaborations. 

Attend Precision Medicine Applications in Radiation Oncology, a meeting sponsored by The Cancer informatics for Cancer Centers (Ci4CC), August 29–31, 2022. This in-person symposium in Santa Barbara, CA will feature invited talks on innovative applications of computational, quantitative, and machine learning approaches to enhance the precision of biomarker development, theranostics, decision support, and workflow in radiation oncology. There will also be a call for scientific abstracts that will be featured in a poster session.

Fall Registration Page

Current Meeting Abstract and Agenda

Ci4CC is a nonprofit society providing a focused forum for NCI Designated & Community Cancer Centers that has a special focus on Precision Medicine, Data Science, Artificial Intelligence, Healthcare IT, Translational Research, & Digital Platforms targeting Executive Informatics & Research IT leaders nationally.

The Virtual Digital Twin Micro Lab was held on April 23, 2020 with participants from more than 40 organizations. Download the video presentations, see the PowerPoint slides and read the breakout discussion notes!

Registration is now open for the 2019 ML-MSM Meeting (October 24-25, 2019) to be held in Bethesda, MD (NIH Campus). The meeting will focus on multiple domain approaches to developing Digital Twins and addressing Human Safety.

Paul Macklin of Indiana University – and MicroLab co-lead of Digital Twin ― co-authored a paper with Argonne National Lab (which includes running many patient simulations on HPC to screen treatment choices). The paper is titled, “Learning-accelerated discovery of immune-tumour interactions,” published in Molecular Systems Design and Engineering on June 7, 2019.