The overall goals of Cancer Imaging and Early Detection research at Michigan State University is to develop novel imaging-based approaches for early detection of cancer, to improve imaging technologies for improved treatment responses, and develop new non-invasive, image-based tumor biomarkers.

Research Topics

• Machine learning for quantitative diagnostics and quantitative PET and CT imaging (Alessio)
• Noninvasive imaging tools and development of novel interventions (Contag)
• Medicinal and radiopharmaceutical chemistry in drug development (Fan)
• Molecular imaging and targeted drug delivery aided by nanoparticles (Huang)
• Nanoscale inorganic materials as novel contrast agents and therapeutics (Kim)
• Molecular imaging to unravel complex biological pathways in cancer (Moore)
• Miniaturized optical imaging system development for early cancer detection (Qiu)
• Cancer prevention and early detection in breast and pancreatic cancers (Sempere)
• New imaging approaches for MRI, X-ray, and nuclear medicine to detect cancer (Shapiro)
• Novel diagnostic imaging and therapeutic agents in cancer (Smith)
• Innovative imaging methods for monitoring transplanted cells (Wang)
• Molecular imaging for cancer diagnosis, treatment monitoring, and therapy (Zinn)