The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 18, 2019
Filed:
Jun. 27, 2013
Tommaso Mansi, Westfield, NJ (US);
Wei Keat Lim, Jersey City, NJ (US);
Vanessa King, Princeton, NJ (US);
Andreas Kremer, Vienna, AT;
Bogdan Georgescu, Plainsboro, NJ (US);
Xudong Zheng, Plainsboro, NJ (US);
Ali Kamen, Skillman, NJ (US);
Andreas Keller, Püttlingen, DE;
Cord Friedrich Staehler, Hirschberg an der Bergstrasse, DE;
Emil Wirsz, Fürth, DE;
Dorin Comaniciu, Princeton Junction, NJ (US);
Tommaso Mansi, Westfield, NJ (US);
Wei Keat Lim, Jersey City, NJ (US);
Vanessa King, Princeton, NJ (US);
Andreas Kremer, Vienna, AT;
Bogdan Georgescu, Plainsboro, NJ (US);
Xudong Zheng, Plainsboro, NJ (US);
Ali Kamen, Skillman, NJ (US);
Andreas Keller, Püttlingen, DE;
Cord Friedrich Staehler, Hirschberg an der Bergstrasse, DE;
Emil Wirsz, Fürth, DE;
Dorin Comaniciu, Princeton Junction, NJ (US);
Siemens Healthcare GmbH, Erlangen, DE;
SIEMENS AG OSTERREICH, Vienna, AT;
Abstract
A system operating in a plurality of modes to provide an integrated analysis of molecular data, imaging data, and clinical data associated with a patient includes a multi-scale model, a molecular model, and a linking component. The multi-scale model is configured to generate one or more estimated multi-scale parameters based on the clinical data and the imaging data when the system operates in a first mode, and generate a model of organ functionality based on one or more inferred multi-scale parameters when the system operates in a second mode. The molecular model is configured to generate one or more first molecular findings based on a molecular network analysis of the molecular data, wherein the molecular model is constrained by the estimated parameters when the system operates in the first mode. The linking component, which is operably coupled to the multi-scale model and the molecular model, is configured to transfer the estimated multi-scale parameters from the multi-scale model to the molecular model when the system operates in the first mode, and generate, using a machine learning process, the inferred multi-scale parameters based on the molecular findings when the system operates in the second mode.