Research Areas

CADRe supports projects involving novel diagnostics, molecular imaging and therapies, and AI-driven tools by addressing regulatory planning, effectiveness studies, and early economic evaluation. Our goal is to accelerate the translation of such new tools into meaningful improvement in outcomes.

AI Clinical Translation

Clinical validation and real-world evaluation of artificial intelligence algorithms ideally considers multiple stakeholder perspectives, broader operational context, and economic evaluation. We study how AI tools and advanced diagnostics influence clinical decision-making, patient outcomes, healthcare utilization, and quality of care across diverse clinical settings.

Imaging-Driven Clinical Data Science and Outcomes

CADRe advances clinical data science by integrating imaging, electronic health record (EHR) data, genetic or epigenetic profiles, pathologic information, and other health informatics tools to develop predictive and prognostic models that directly inform clinical decision-making.  Emphasis is placed on efficient comparative study designs and trial simulation.

Early Detection and Population Imaging

We are developing advanced imaging techniques and adjacent diagnostics designed to detect disease earlier and more accurately while serving the individuality of patients for precision medicine. Areas of interest include connecting molecular testing with imaging and multimodality methods for early detection and preventive care. 

Imaging Biomarkers for Diagnosis and Therapeutics

CADRe applies quantitative imaging methodologies, such as molecular MRI, to identify reproducible biomarkers reflecting underlying disease biology. Research activities include clinical validation and utility studies, regulatory planning, and consideration of steps to broad clinical translation.