Cancer imaging research involves increasingly large datasets requiring substantial informatics and biostatistics support. To ensure precise data retrieval and analysis, program researchers are developing new data representation protocols to accommodate the unique requirements of specific knowledge bases such as those evolving from our cancer profiling, target identification and probe development efforts.

The program trains future scientific leaders in the use of these protocols to support the effective application of today's emerging imaging capabilities in the research and clinical setting. This work is carried out in collaboration with researchers from Molecular Profiling, Cancer Epidemiology, and Lymphoma & Hodgkin's Disease.

Scientific Goals

• Expanding informatics and biostatistics support capability for cancer imaging research
• Training future imaging faculty and scientific leaders in the application of imaging knowledge to patient management and evaluation of therapeutic response
• Disseminating knowledge in the rapidly growing area of molecular imaging of cancer

Program Researchers

Bruce Daniel, MD Sam Gambhir, MD, PhD Gary Glover, PhD Robert Herfkens, MD Debra Ikeda, MD Tze Leung Lai, PhD Sandy Napel, PhD

John Pauly, PhD Norbert Pelc, ScD Sylvia Plevritis, PhD, MD Geoffrey Rubin, MD F. Graham Sommer, MD Daniel Spielman, PhD