Company Filing History:
Years Active: 2025
Title: Caleb J Kennedy: Innovator in Genetic Analysis
Introduction
Caleb J Kennedy is a notable inventor based in Arlington, MA (US). He has made significant contributions to the field of genetic analysis through his innovative patent. His work focuses on utilizing graph databases to enhance the understanding of genetic mutations and their clinical significance.
Latest Patents
Caleb holds a patent for "Systems and methods for genetic analysis." This invention relates to the use of a graph database in genetic analyses to link mutation data to extrinsic data. The system allows for the individual representation and storage of entities such as mutations, patients, samples, alleles, and clinical information as nodes. Relationships between these entities are also represented and stored. Each node and relationship can be stored using a fixed-size record, allowing for flexible invocation of nodes to represent any entity without disrupting existing data. The systems and methods may be used to obtain data representing a mutation in an individual, with nodes in the graph database storing descriptions of mutations and pointers to adjacent nodes that provide information about the clinical significance of the variants. The graph database can be queried to generate reports on the clinical significance of mutations. Caleb has 1 patent to his name.
Career Highlights
Caleb is currently employed at Laboratory Corporation of America Holdings, where he continues to work on advancements in genetic analysis. His role allows him to apply his innovative ideas in a practical setting, contributing to the field of genetics.
Collaborations
Caleb collaborates with talented individuals such as Alexander Frieden and Xavier S Haurie. These partnerships enhance the research and development efforts in their respective projects.
Conclusion
Caleb J Kennedy is a pioneering inventor whose work in genetic analysis is paving the way for advancements in understanding mutations and their clinical implications. His innovative approach using graph databases represents a significant step forward in the field.