Company Filing History:
Years Active: 2017-2019
Title: Innovations in Cancer Detection by Tomomi Kubota
Introduction
Tomomi Kubota is a notable inventor based in Ibaraki, Japan. He has made significant contributions to the field of cancer diagnostics, particularly focusing on epithelial ovarian cancer. With a total of two patents to his name, Kubota's work is aimed at improving the accuracy and specificity of cancer detection.
Latest Patents
Kubota's latest patents include an antibody for detecting an epithelial ovarian cancer marker and a method for diagnosing epithelial ovarian cancer. The first patent provides an antibody capable of specifically recognizing and detecting a highly specific epithelial ovarian cancer marker. This invention focuses on an anti-β1,6-N-acetylglucosaminyltransferase 5B antibody, which is designed for the diagnosis of epithelial ovarian cancer. The antibody recognizes a part of a polypeptide of the enzyme consisting of a specific amino acid sequence. The second patent also involves an antibody for detecting a glycosyltransferase β1,3-N-acetylglucosaminyltransferase 3 as an epithelial ovarian cancer marker. This invention aims to provide a highly specific cancer marker for effective diagnosis.
Career Highlights
Tomomi Kubota is affiliated with the National Institute of Advanced Industrial Science and Technology. His work at this prestigious institution has allowed him to focus on innovative research in cancer diagnostics. Kubota's contributions are vital in the ongoing battle against cancer, providing new tools for early detection and treatment.
Collaborations
Kubota has collaborated with notable colleagues, including Maki Sogabe and Akira Togayachi. These partnerships have enhanced the research and development of his innovative cancer detection methods.
Conclusion
Tomomi Kubota's work in developing antibodies for the detection of epithelial ovarian cancer represents a significant advancement in medical diagnostics. His innovative patents contribute to the ongoing efforts to improve cancer detection and treatment methodologies.