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 MoonshotSM 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.
Dr. Hanson is the group lead of the Biostatistics and Multiscale Systems Modeling Group in the Computing and Computational Sciences Directorate at Oak Ridge National Laboratory.
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