Hear from Johns Hopkins School of Medicine’s Dr. Janis Taube as she elaborates on her recent work to help create the next generation of biomarkers for immuno-oncology. This is the sixth 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.

Learn from NIH science policy and extramural research experts about the 2023 DMS policy and how it’s anticipated to affect the preservation and sharing of scientific data generated from NIH-funded or conducted research.

Discover how researchers from Northwestern University have been using machine learning (ML) to explore the comprehensive archive of the National Human Genome Research Institute’s (NHGRI’s) History of Genomics Program. These experts have used ML to not only more easily sift through the wealth of data in the program’s archive, but also to better understand how an institute like NHGRI has shaped genomics.

In this upcoming Cancer Moonshot℠ seminar, Dr. Fedorov will present the Imaging Data Commons, a repository within the NCI Cancer Research Data Commons (CRDC) that contains publicly available imaging data.

During the July Cancer Genomics Cloud (CGC) webinar, Dr. Lanman will share how she’s using CGC data sets and man’s best friend to better understand human brain and spinal cord tumors.

Data scientists and program officers are invited to attend this workshop to learn about the many areas of research data management and sharing, specifically as they concern plan evaluation in grant proposals.

The University of Texas MD Anderson Cancer Center’s Dr. Wargo will be presenting, “Microbiome Analyses and Clinical Decision Making: Computational Science in Immuno-Oncology.” This is the fifth 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.

Learn from Cancer MoonshotSM project leads about their NCI-funded coordinating center strategies and tools for promoting data, software, and model sharing!

The NCI Center for Cancer Research’s Dr. Eytan Ruppin will present on “SELECT,” a computational approach that aims to identify clinically relevant synthetic lethal interactions and then harnesses them to predict patient response to cancer therapy from the bulk tumor transcriptome.

During the June Cancer Genomics Cloud (CGC) webinar, Dr. Jones of Cedars-Sinai Medical Center will discuss how she’s used the CGC to map the genome of chemoresistant ovarian cancer with multi-omic profiling.