Company Filing History:
Years Active: 2000-2001
Title: Innovations by Denis Capatos in Genetic Testing
Introduction
Denis Capatos is a notable inventor based in Waterloo, Canada. He has made significant contributions to the field of genetic testing, particularly in the diagnosis of mutations associated with various diseases. With a total of 2 patents to his name, his work has the potential to impact medical diagnostics significantly.
Latest Patents
One of Denis Capatos's latest patents is a method for testing for mutations in DNA from a patient sample. This innovative approach utilizes a hierarchy of at least two assay techniques to test for disease-associated mutations. The first assay in the hierarchy is designed to provide a highly specific test for the existence of the mutation, while the final assay is selected for its high accuracy and specificity. This systematic approach allows for a thorough analysis of patient samples, ensuring that all potential mutations are identified. His second patent relates to methods and products for diagnosing mutations in the von Hippel-Lindau tumor suppressor gene. This invention includes DNA oligonucleotides for amplifying and sequencing genomic DNA, as well as kits that incorporate these oligonucleotides. The hierarchical system he developed aims to provide a cost-effective diagnosis of disease-associated mutations.
Career Highlights
Denis Capatos is currently employed at Visible Genetics Inc., where he continues to advance his research in genetic testing. His work is characterized by a commitment to improving diagnostic methods and enhancing patient care through innovative technologies.
Collaborations
Denis has collaborated with notable colleagues, including John K Stevens and James M Dunn. These partnerships have contributed to the development and refinement of his patented technologies.
Conclusion
Denis Capatos's contributions to genetic testing through his innovative patents demonstrate his dedication to advancing medical diagnostics. His work has the potential to improve the accuracy and efficiency of mutation detection, ultimately benefiting patient outcomes.