Company Filing History:
Years Active: 2017-2021
Title: Innovations by Tobias Peikert
Introduction
Tobias Peikert is an accomplished inventor based in Rochester, MN (US). He has made significant contributions to the field of medical imaging and diagnostics, holding a total of 3 patents. His work focuses on advancing technologies that improve the classification of tissue masses, particularly in the context of cancer detection.
Latest Patents
One of his latest patents is titled "System and method for tomography-based radiomic mass analysis." This innovative method classifies a tissue mass as either malignant or benign. It involves identifying a region of interest in the tissue mass using computed tomography (CT) imaging data. The process includes segmenting the CT imaging data to delineate portions of the tissue mass into image segments. Additionally, it extracts a set of radiomic parameters that indicate the characteristics of the tissue mass, such as its location, shape, surface characteristics, and texture distribution. The method culminates in generating a report that classifies indeterminate lung nodules based on these parameters.
Another notable patent is related to "Flow cytometry assay methods." This document outlines various methods and materials for performing flow cytometry assays. It provides comprehensive details on the techniques and kits involved in these assays, which are essential for analyzing cellular characteristics.
Career Highlights
Tobias Peikert has worked with prestigious institutions, including the Mayo Foundation for Medical Education and Research and Vanderbilt University. His experience in these organizations has allowed him to collaborate with leading experts in the field and contribute to groundbreaking research.
Collaborations
Throughout his career, Peikert has collaborated with notable colleagues, including Patricio Escalante and Keith L. Knutson. These partnerships have further enriched his research and innovation efforts.
Conclusion
Tobias Peikert's contributions to medical imaging and diagnostics through his patents demonstrate his commitment to advancing healthcare technology. His innovative methods have the potential to significantly impact the early detection and classification of cancerous tissues.