CCIPD researchers pit big data against human diseases
Researchers at the Center for Computational Imaging and Personalized Diagnostics (CCIPD) are furthering efforts to use big data derived from medical imaging as a powerful weapon against disease.
This summer, they won a $3.3 million grant from the National Cancer Institute to produce software that recognizes minute features in pathology images of ER+ breast cancer to help determine which patients need chemotherapy and which could be better treated by hormonal therapy.
As part of a separate research initiative, they discovered changes in benign tissues next to prostate tumors may provide an early warning for patients at higher risk for biochemical recurrence after a radical prostatectomy.
Earlier this year, they developed a tool that aligns and fuses MRIs of the prostate before and after laser ablation treatment for cancer, allowing them to quantitatively evaluate the physical effects of the treatment, which could better inform the risks and long-term outcomes associated with ablation, an increasingly common treatment for prostate cancer that serves as something of a middle-ground approach in low-risk cases between watchful waiting and radical actions like surgery and radiation.
In addition, Anant Madabhushi, CCIPD director and professor of biomedical engineering, also won a grant from China’s State Administration Program for High-end Foreign Experts to support travel to China to foster research collaborations, and was awarded U.S. patent 9,292,933, titled “Method and apparatus for shape based deformable segmentation of multiple overlapping objects.”
Learn more about the center’s research projects.