Artificial Intelligence, Multi-Modal Analysis, Digital Health, and Clinical Informatics
NCI Shady Grove Campus (9609 Medical Center Drive, Rockville, MD 20850), Room 3W032/034
Virtual attendance via Webex
Learn more about rapidly emerging, health-related artificial intelligence (AI) methods; AI-driven clinical informatics projects; and how you can apply these health AI applications to support computer science research.
Join Stony Brook University’s Dr. Joel Saltz as he:
- explores how digital health and biomedical informatics can drive innovation in computer science.
- outlines practical strategies for building synergistic multidisciplinary teams.
The CBIIT Data Science Seminar Series is dedicating its 2025 events to spotlighting the use of AI in cancer research and care. Brought to you by CBIIT and NCI’s Division of Cancer Treatment and Diagnosis AI working group, the upcoming webinars will explore a variety of questions, such as the following:
- How can we use AI for diagnosis, treatment, drug development, and omics research?
- What are the related laws and ethical considerations for AI?
- How can we empower an AI-ready cancer research community through workforce development, collaborations, and funding?
To view upcoming speakers or recordings of past presentations, visit the CBIIT Data Science Seminar Series webpage.
Dr. Saltz is the Department Chair and Distinguished Professor in the Department of Biomedical Informatics at Stony Brook University.
Upcoming Events
- An Artificial Intelligence (AI) Code of Conduct for Health and Medicine Publication Release WebinarJune 12, 2025NCI Emerging Technologies Seminar: Programs and Resources to Support Technology Development for Cancer ResearchJune 17, 2025Artificial Intelligence, Multi-Modal Analysis, Digital Health, and Clinical InformaticsJune 25, 2025Data Jamboree: Enhancing Childhood Cancer Data Sharing and UtilitySeptember 29, 2025 - September 30, 2025