2016 Maggie Luck Outside the Box Grant Receipent
Jeeun Kang, PhD is a postdoctoral fellow in the Laboratory for Computational Sensing and Robotics at Johns Hopkins University, working with Dr. Emad M. Boctor. Dr. Kang is investigating new approaches of imaging early-detection of disease. The aim of the project is to develop a novel diagnostic method for early-stage ovarian cancers with these three steps:
- A machine learning database of physical properties will be established using ovarian cancer samples and cell lines.
- An established database will be employed to train the machine learning algorithm for the precise classification of the ovarian cancers being diagnosed.
- The performance of the proposed method will be evaluated with multiple samples and correlated with traditional histological analysis.
If successful, this study will bring novel insights into the ovarian cancer research field, ultimately allowing early detection and characterization. Such information may also reveal clinical outcomes such as sensitivity, long-term survival rates for patients, and better personalized treatment regimens.