During this session of Big Data Training for Cancer Research Special Lecture Series, Dr. Jill Barnholtz-Sloan will present, “#DataMatters—Leveraging Big Data for Impact on Cancer.” Learn about the ubiquity of data and its influence on cancer research based on specific examples in brain tumors.

Discover how computing and machine learning can accelerate molecular optimization for cancer and infectious disease therapeutics during the May ATOM Webinar Series.

NCI is conducting a two-day virtual workshop, Machine Learning (ML) and Health Outcomes in Cancer Care Delivery Research, highlighting current cancer-focused research in health outcome risk prediction, symptom trajectories, natural language processing methods, and point-of-care decision support. Panel sessions will identify the strengths and potential of ML methods, barriers, and opportunities specific to cancer care delivery research.

Register for the May Containers and Workflows Interest Group webinar to learn how investigators are leveraging Amazon Web Services capabilities for genomics research.

Learn how to overcome common challenges using multi-institutional data during this NIH Data Sharing and Reuse Seminar. Dr. Kalpathy-Cramer will review examples of privacy preserving learning from multi-institutional data sets and discuss successes as well as directions for future research.

Hear the latest about the Gabriella Miller Kids First program and get updates on the latest tools and resources in development within the Kids First Data Resource.

Hear speakers from the NIH-funded Pilot Centers for Precision Disease Modeling present their precision disease modeling approaches, how they support the biomedical research enterprise, and their application to cancer epidemiology studies.

During the Bio-IT World Conference & Expo, CBIIT’s Dr. Barnholtz-Sloan will participate in a panel discussion, “How Is AI Transforming Oncology Research and Care Delivery?” with fellow experts in cancer bioinformatics and research.

At the May NCI Imaging and Informatics Community Webinar, Drs. Kalpathy-Cramer and Xu will discuss enabling Federated Learning (FL) in real applications. This talk will cover the open-source NVIDIA Federated Learning Application Runtime (FLAIR) infrastructure for orchestrating an FL study. Together with Project MONAI, there will be a discussion on a medical imaging use case, recent research towards better performing FL pipelines, and the introduction of a current MICCAI challenge on breast density FL.

Register for the April Cancer Genomics Cloud Webinar Series to learn more about how NCI’s Cancer Research Data Commons and the Cancer Genomic Cloud Resource are helping researchers with little-to-no-programming skills conduct bioinformatics research.