Interested in new informatics tools and data integration? Attend this seminar to learn more from New York University’s Dr. Itai Yanai.

Embrace the computational challenges of analyzing diverse assay data across the spectrum of immuno-oncology by registering for the second course of the 2023 SITC-NCI Computational Immuno-Oncology Webinar Series.

Have you checked out NCI’s Childhood Cancer Data Initiative’s (CCDI’s) new online Hub? To learn more, sign up for this CCDI-hosted meeting.

Attend this workshop to learn more about using omics data to link environmental exposures to cancer, and how that impacts prevention!

Advance your training in translational immunotherapy research by registering for the first course in the SITC-NCI Computational Immuno-Oncology Webinar Series.

Dr. Wysocki will demonstrate the Genomic Data Commons’ (GDC’s) Binary Alignment Map (BAM) slicing feature, which lets GDC users download specific parts of a BAM file instead of the whole file, saving download time and resources.

Don’t miss this opportunity to hear CBIIT’s Dr. Jill Barnholtz-Sloan discuss data and new tools for cancer research at the 2023 International Conference on Healthcare Informatics!

Join this upcoming webinar hosted by the National Institute of General Medical Sciences (NIGMS). Presenters will discuss a cloud-based learning platform that contains modules you might use in your cancer research!

Interested in learning about a large, patient-centered, cancer health outcomes data resource? Join Drs. Jensen and Lines as they discuss the navigation, extraction, analysis, and interpretation of Medicare Part D claims data with cancer outcome data from the Surveillance, Epidemiology, and End Results-Medicare Health Outcomes Survey (SEER-MHOS) resource.

Are you attending this year’s Annual Congress of the European Association for Cancer Research in Torino, Italy? Listen to NCI CBIIT’s Dr. Daoud Meerzaman discuss how multimodal artificial intelligence and machine learning approaches can assist in predicting outcomes for cancer patients.