Company Filing History:
Years Active: 2011-2020
Title: The Innovative Contributions of Dansheng Song
Introduction
Dansheng Song is a notable inventor based in Tampa, FL (US), recognized for his significant contributions to cancer diagnosis and prognosis through advanced imaging techniques. With a total of 4 patents, his work focuses on automating the analysis of centrosomes, which play a crucial role in early cancer detection.
Latest Patents
One of Dansheng Song's latest patents is titled "Automatic region of interest selection in centrosome analysis." This invention presents a method and system for selecting a region of interest (ROI) in tissue or groups of cells, with the potential for full automation. The method demonstrates excellent accuracy and precision, making it a valuable tool in early cancer diagnosis and prognosis. Another significant patent is "Methods and apparatus for diagnosis and/or prognosis of cancer." This invention outlines methods for detecting and diagnosing cancer by analyzing centrosomal features. It includes steps such as receiving an image of one or more cells, selecting a region of interest, segmenting the image, and analyzing extracted features to diagnose cancer. This innovative approach can also predict cancer progression through feature analysis.
Career Highlights
Dansheng Song has worked with esteemed institutions such as the H. Lee Moffitt Cancer Center and Research Institute and the University of South Florida. His experience in these organizations has allowed him to develop and refine his innovative methods for cancer analysis.
Collaborations
Throughout his career, Dansheng has collaborated with notable colleagues, including Tatyana A. Zhukov and Melvyn S. Tockman. These partnerships have contributed to the advancement of his research and the development of his patented technologies.
Conclusion
Dansheng Song's innovative work in cancer diagnosis and prognosis through centrosome analysis exemplifies the impact of technology on healthcare. His patents reflect a commitment to improving early detection methods, ultimately benefiting patients and the medical community.