In early 2018, leaders from the College of Engineering and The Ohio State University Comprehensive Cancer Center began synthesizing cancer-related research activity across the medical and engineering campuses to establish a campus-wide team of experts that together develop solutions and technologies leading to fundamental and clinical discoveries.

The program will serve as a nexus for new training opportunities, high-impact collaborative research, collaborative cross-disciplinary funding as well as technology development and transfer.

Areas of Concentration

Multimodal and Multiscale Imaging and Detection

  • Develop advanced microscopy methods for intracellular molecular imaging at sub-nanometer single molecule resolution to real-time tracking at diffraction-limited resolution
  • Develop molecular analysis for structure/function studies and drug design
  • Develop new methods to identify cell types and circulating tumor cells based on biological, chemical or physical properties
  • Develop high throughput methods to confirm biological functions, molecular or cellular interactions or drug screens
  • Develop non-invasive imaging for inflammation/immune activation to predict side effects and response

Tissue Engineering, Biomaterials, Biomechanics and Drug Delivery

  • Development of innovative cell culture technologies (e.g., bioreactor, 3D culture, clean room technologies) to increase cell and tissue viability to support basic research and clinical trials
  • Biofabrication (bioprinting, bioplotting and solid curing) of tissue scaffolds and tissues for organoid and tumor microenvironment modeling
  • Develop therapeutic biomaterials for surgery and localized biomedical administration
  • Develop nanostructures or nanomaterials for drug delivery and immunotherapy
  • Design and development of materials for controlled fluid delivery/fluid dynamics and biosensors to model cancer evolution and metastasis.
  • Develop high-throughput systems using engineered models and organoids for compound screening and target validation
  • Develop predictive biomechanical models of the natural history of bone related cancers to inform and improve treatment

Machine Learning/Artificial Intelligence

  • Develop machine learning and/or artificial intelligence algorithms for multi-omics data analytics (phenotypes, genomic, proteomics, transcriptomics, metabolomics, etc.) as well as imaging and clinical records
  • Develop applications to imaging and structural data for biomechanical modeling, understanding and predicting disease progression, and virtual surgical/non-surgical planning
  • Develop applications for structure predictions to drug design and development

Potential Program Model

Cancer Engineering Program Flowchart

Contact Us

Dorota Grejner-Brzezinska
Associate Dean for Research
College of Engineering


Matthew Ringel, MD
Ralph W. Kurtz Chair
Director, Division of Endocrinology, Diabetes and Metabolism
College of Medicine