This inventor holds 1 USPTO granted patent. Top assignee: Pacific Edge Biotechnology Limited. Active years: 2008.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2008
Title: The Innovations of Mathias Erwin Futschik
Introduction
Mathias Erwin Futschik is a notable inventor based in Dunedin, New Zealand. He has made significant contributions to the field of biotechnology, particularly in the area of medical applications. His work focuses on the intersection of adaptive learning systems and gene expression data.
Latest Patents
Futschik holds a patent for "Medical applications of adaptive learning systems using gene expression data." This innovative patent describes a neural network module that includes an input layer with nodes designed to receive gene expression data. The module also features a rule base layer with rule nodes and an output layer that outputs various conditions. Additionally, it comprises an adaptive component that extracts rules from the rule base layer, representing the relationships between gene expression data and the conditions. This patent showcases methods and systems utilizing the module, along with specific profiles that leverage the technology.
Career Highlights
Futschik is associated with Pacific Edge Biotechnology Limited, where he applies his expertise in biotechnology and neural networks. His work has the potential to revolutionize medical diagnostics and treatment methodologies through advanced data analysis.
Collaborations
Futschik has collaborated with notable colleagues, including Anthony Edmund Reeve and Michael James Sullivan. Their combined efforts contribute to the advancement of innovative solutions in biotechnology.
Conclusion
Mathias Erwin Futschik's contributions to the field of biotechnology through his patent and work at Pacific Edge Biotechnology Limited highlight his role as an influential inventor. His innovative approaches to medical applications using adaptive learning systems are paving the way for future advancements in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile