Princeton, NJ, United States of America

Brian Teixeira


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Brian Teixeira: Innovator in Predictive Technology

Introduction

Brian Teixeira is a notable inventor based in Princeton, NJ (US). He has made significant contributions to the field of predictive technology, particularly in the healthcare sector. His innovative work focuses on enhancing the accuracy and efficiency of virtual topograms through advanced machine learning techniques.

Latest Patents

Brian Teixeira holds a patent for a method and systems for predicting a stream of virtual topograms. This patent involves the continuous reception of sets of surface data from the outer surface of a subject. A trained machine learning algorithm generates live virtual topograms based on this data. The process includes updating a representation of body landmarks and predicting the virtual topogram using a trained topogram generator. This innovative approach has the potential to revolutionize how virtual topograms are utilized in medical diagnostics.

Career Highlights

Teixeira is currently employed at Siemens Healthineers AG, where he applies his expertise in machine learning and predictive analytics. His work at Siemens Healthineers AG emphasizes the integration of technology in healthcare, aiming to improve patient outcomes through innovative solutions. With a patent portfolio that includes 1 patent, he continues to push the boundaries of what is possible in his field.

Collaborations

Throughout his career, Brian has collaborated with talented professionals, including Vivek Kumar Singh and Ankur Kapoor. These collaborations have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Brian Teixeira's contributions to predictive technology and virtual topograms highlight his role as an influential inventor in the healthcare industry. His innovative methods and systems pave the way for advancements that can significantly impact medical diagnostics and patient care.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…