New Regulations Aim to Make AI Models More Useful, Less Biased | NCI Data Science Updates

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Apply for Funding to Support the Development of Digital Twins in Radiation Oncology

Posted January 25, 2024

Do you work with digital twin data models? If so, consider applying by March 21, 2024, for research funding!

Learn About a Model That Uses Blood Proteins to Predict Lung Cancer Risk

Posted January 25, 2024

A new algorithm is showing promising results in predicting lung cancer. See how proteins in your blood may someday help determine your risk for lung cancer.

See the New Regulations That Aim to Make AI Models More Useful, Less Biased

Posted January 23, 2024

Are you working on artificial intelligence (AI) solutions for cancer care? Check out these guidelines from the Office of the National Coordinator for Health Information, which should help make AI in clinical care more transparent.

Provide Feedback on NIH Data Management and Sharing Plan Pilot Templates

Posted January 24, 2024

Do you conduct NIH-funded research? Try out these data management and sharing (DMS) plan pilot templates, give your input, and help shape the future of NIH DMS Plan design!

Read About the Algorithm That Shines Light on Cancer Cell Neighborhoods

Posted January 23, 2024

The ways that cells interact with neighboring cells and their environments can either regulate or promote how tumors grow and spread. See how a new tool is helping us better understand these important “neighborhood” interactions.

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Know a Thing or Two About Data Automation and Electronic Health Records? Provide Input!


Help NCI’s Childhood Cancer Data Initiative better serve the cancer research and healthcare enterprise; provide your insight on the current capabilities of automated data entry and extraction from Electronic Health Records. The deadline to submit is February 29, 2024.

Learn About FrESCO, a Modular Library for Developing Deep Learning Models


FrESCO is the latest AI/ML capability from NCI-DOE’s MOSSAIC project.