Join the upcoming NCI Containers and Workflows Interest Group webinar to learn about the research and functionality available through the University of California, San Francisco’s (UCSF) Information Commons.

Join a paneled discussion that examines the multifaceted ethical, social, and research considerations for data sharing in implementation science and cancer prevention. This is the second session of a three-part virtual workshop hosted by the Implementation Science Centers in Cancer Control.

At this month’s NCI Genomic Data Commons (GDC) support webinar, University of Chicago’s Drs. Zhang and Wysocki will describe the bioinformatics pipelines supporting data harmonization.

At the June NCI Imaging and Informatics Community Webinar, Stanford University’s Dr. Mirabela Rusu will discuss the improvement of prostate MRI interpretation by developing deep learning models that automatically localize indolent and aggressive prostate cancers on MRI scans.

Join data science, ethics, data privacy, and security experts as they explore the future of data sharing in both implementation science and cancer prevention and control. This is the first session of a three-part virtual workshop hosted by the Implementation Science Centers in Cancer Control.

Johns Hopkins University’s Dr. Ji will present, “Identifying and Preventing Artifacts in High Dimensional Data: Computational Science in Immuno-Oncology.” This is the third of nine seminars in the SITC-NCI Computational Immuno-Oncology Webinar Series, a series designed for data scientists interested in the latest data science technologies and immunotherapy research.

During a session at the two-day CCR-DCEG Health Disparity Workshop, CBIIT’s Dr. Jill Barnholtz-Sloan will be presenting, “Data resources for data science to advance cancer health disparity research” with moderation by Sheila Rajagopal.

Dr. Peng Jiang of NCI’s Center for Cancer Research will discuss CytoSig, a software-based platform that provides both a database of target genes modulated by cytokines and a predictive model of cytokine signaling cascades from transcriptomic profiles. NCI is seeking parties interested in licensing and/or co-developing the platform.

During this session of the Big Data Training for Cancer Research Special Lecture Series, Duke University’s Dr. Warren Kibbe will present on the NCI CCDI. Learn about the initiative’s current state, future direction, and how to get involved.

At the AWS Summit, NCI CBIIT’s Dr. Keyvan Farahani will take part in a panel discussion, titled “Elevating a Patient’s Radiology Journey with ML and the Cloud.” The panel will examine how medical imaging techniques, including radiology and pathology, are being blended with machine learning and cloud technologies to improve patient care.