Attend this webinar to learn more about MIRA—a Python software package designed for the analysis of single-cell RNA-seq, ATAC-seq, and multimodal data.

Attend this webinar for a detailed overview of the 2024 Public Access Policy, including key updates and publishing guidelines. Engage in a live Q&A and connect directly with the NCI Office of Data Sharing Team.

Learn more about the current and future state of this biomarker science. This webinar is part of the 2025 SITC-NCI Computational Immuno-oncology Webinar Series, which focuses on the methods and clinical utility for biomarker development in immuno-oncology.

Learn about NCI programs and resources that can support your work in developing technologies for cancer research. This event is part of NCI’s Emerging Technologies Seminar Series, which highlights NCI-supported novel technologies that could transform cancer research and clinical care.

Attend this webinar to learn about the medical imaging platform, “Open Health Imaging Foundation (OHIF) Viewer.” NCI’s Informatics Technology for Cancer Research program funds this platform.

Learn about new artificial intelligence (AI) tools you can use for your cancer research to identify disease targets, map signaling pathways, and predict drug combinations. This event is part of the NIH Data Sharing and Reuse Seminar Series.

Learn how the National Academy of Medicine’s AI Code of Conduct framework supports AI governance in health and medicine. It does this by building trust, protecting patients, and guiding responsible innovation.

If you’re attending this year’s Brain Tumor Epidemiology Consortium (BTEC), be sure to check out the NCI CBIIT Acting Director’s presentation on utilizing data sets to understand brain metastasis.

Learn about agentic artificial intelligence (AI) and where the field is headed related to cancer research. This event is part of the Cancer AI Conversations webinar series.

Looking for help in tailoring immunotherapy? Attend this webinar to learn about an NCI-funded platform that gives you access to pipelines, tools, and resources for exploring immune cell responses and linking those responses to gene expression.