Mayo Foundation for Medical Education and Research

Vanderbilt University

Tobias Peikert

Patricio Escalante

Keith L Knutson

Srinivasan Rajagopalan

Brian J Bartholmai

Ronald A Karwoski

Fabien Maldonado

Systems and methods are provided for classifying a tissue mass as malignant or benign. The method includes identifying a region of interest in the tissue mass in computed tomography (CT) imaging data, segmenting the CT imaging data to delimit at least a portion of the tissue mass into image segments, extracting a set of radiomic parameters indicative of the tissue mass. The set of radiomic parameters may include tissue mass location, tissue mass shape, tissue mass surface characteristic, or tissue mass texture distribution indicative of the amount of image segments identified. The method also includes generating a report classifying the indeterminate lung nodule as being malignant or benign based on the set of radiomic parameters of the indeterminate lung nodule.

System and method for tomography-based radiomic mass analysis

This document provides methods and materials involved in performing flow cytometry assay methods. For example, flow cytometry assay methods and kits are provided.

Flow cytometry assay methods

This document provides methods and materials related to identifying mammals having a LTBI. For example, methods and materials for using ELISpot assays to identify mammals (e.g., humans) having a LTBI are provided.

Detecting latent tuberculosis infections

Growing community of inventors

Rochester, MN, United States of America

Tobias Peikert