XNAT 2: An Open-Source Imaging Informatics Tool
In your day-to-day biomedical research activities, do you collect and assess imaging data across many modalities? Are you looking for imaging software that’s integrated with super intelligence (SI)?
Dr. Daniel Marcus, an NCI-funded investigator from Washington University, will reveal the sequel to the ever-evolving XNAT imaging informatics platform: XNAT 2. Attend this webinar to discover:
- how Dr. Marcus and his team are engineering the XNAT 2 architecture, existing capabilities, and software roadmap.
- how XNAT 2 enriches traditional research tasks with agentic SI.
- how XNAT 2 enables responsible translation of SI capabilities into the clinic.
NCI’s Informatics Technology for Cancer Research (ITCR) program has funded the XNAT open-source, imaging informatics software platform.
About the Speaker
Daniel Marcus, Ph.D.
Dr. Marcus is a professor of radiology at Washington University School of Medicine and director of the Translational AI Group (TAG), an interdisciplinary team of engineers, scientists, software developers, and informaticists all contributing towards the common goal of enabling imaging in biomedical research. TAG develops XNAT and contributes to the international biomedical informatics infrastructure through a portfolio of NIH-funded projects.