Company Filing History:
Years Active: 2020
Title: Andrew Shinohara: Innovator in Systems Medicine for Personalized Oncology
Introduction
Andrew Shinohara is a prominent inventor based in Washington, DC. He has made significant contributions to the field of personalized oncology through his innovative work in systems medicine. His research focuses on integrating patient characteristics with high-throughput research data to enhance cancer treatment.
Latest Patents
Andrew Shinohara holds a patent for a "Systems medicine platform for personalized oncology." This invention is directed towards a web-based platform that facilitates both basic and clinical research activities. It integrates patient characteristics and clinical outcome data with various high-throughput research data in a unified environment. The platform addresses the limitations of existing data repositories, which often focus on a single data type and lack support for integration across multiple technologies. His invention includes a comprehensive collection of bioinformatics and systems biology tools for the analysis and visualization of four major 'omics' types: DNA, mRNA, microRNA, and metabolites, as well as next-generation sequencing. This platform aids in identifying trends and patterns in integrated datasets, ultimately facilitating the use of better-targeted therapies for cancer.
Career Highlights
Andrew Shinohara is affiliated with Georgetown University, where he continues to advance research in systems medicine. His work has garnered attention for its potential to revolutionize cancer treatment through personalized approaches.
Collaborations
Andrew collaborates with notable colleagues, including Subha Madhavan and Michael A Harris, who contribute to the research and development of innovative solutions in the field of oncology.
Conclusion
Andrew Shinohara's contributions to systems medicine and personalized oncology exemplify the impact of innovative research on cancer treatment. His patent and ongoing work at Georgetown University highlight the importance of integrating diverse data types to improve patient outcomes.