NCI-DOE Collaboration: MOSSAIC for Advancing Computational Models for Cancer Research

Join Dr. Heidi Hanson of Oak Ridge National Laboratory as she provides an update on the NCI-DOE Collaboration project, MOSSAIC. This project focuses on advancing computing, predictive machine learning/deep learning models, and large-scale computational simulations for NCI-supported cancer research.

Dr. Hanson will discuss the accomplishments of the MOSSAIC project, including:

• scalable models for clinical information extraction.
• uncertainty quantification and abstention.
• data collection and development of cancer recurrence and biomarker APIs.
• transformers for clinical text extraction.
• the use of privacy preserving federated learning for prediction models in health care.

This webinar is part of the Cancer Moonshot^SM Seminar Series, which showcases the research progress of different Cancer Moonshot initiatives. This webinar aligns with the Blue Ribbon Panel report recommendation of building a national cancer data ecosystem, which includes NCI’s Cancer Research Data Commons. Learn more about the seminar series and view the list of upcoming presentations and speakers.