Cancer research, like all fields of scientific research, covers a broad spectrum of investigations ranging from the basic to the applied. While cancer research at Georgia Tech represents the full spectrum, the emphasis, as is perhaps typical of an engineering school, is on the applied.  There are two general areas of cancer biology where Georgia Tech researchers are having a significant impact-diagnostics and therapeutics.  Details of the research interests of individual ICRC members are available by linking to their lab sites (See People). Below are examples of collaborative projects currently under investigation.

Abnormal cell mechanical stiffness can point to the development of various diseases including cancers.
Learn More
Mass spectrometric (MS)-based metabolic profiling of blood sera from cancer and control patients is used to establish diagnostic models of the disease.
Learn More
Most cancer deaths are not the direct result of primary tumors but to the metastatic spread of cancer cells to secondary sites.
Learn More
The potential utility of small non-encoding regulatory RNAs in the treatment of cancer is an area of active investigation in many laboratories.
Learn More
  • Gene transfection enhanced by ultrasound exposure combined with drug treatment guided by gene chip analysis.
  • Anti-invasive adjuvant therapy with imipramine blue enhances chemotherapeutic efficacy against glioma
  • Profiling of linker histone variants in ovarian cancer.
  • Remote triggered release of doxorubicin in tumors by synergistic application of thermosensitive liposomes and gold nanorods
  • Evaluation of tumor microenvironment in an animal model using a nanoparticle contrast agent in computed tomography imaging
  • Masking and triggered unmasking of targeting ligands on nanocarriers to improve drug delivery to brain tumors
  • Tumor vascular permeability to a nanoprobe correlates to tumor-specific expression levels of angiogenic markers
  • Image-based determination of 'physiomarkers' for personalized cancer therapy
  • Imaging nanoprobe for prediction of outcome of nanoparticle chemotherapy by using mammography