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.

Date of Patent:
Nov. 25, 2025

Filed:

May. 13, 2020
Applicants:

Elekta, Inc., Atlanta, GA (US);

The General Hospital Corporation, Boston, MA (US);

Inventors:

Ali Ajdari, Boston, MA (US);

Thomas Reinhard Bortfeld, Cambridge, MA (US);

Maria Luiza Bondar, Waalre, NL;

Matthieu Frédéric Bal, Geldrop, NL;

Assignees:

Elekta, Inc., Atlanta, GA (US);

The General Hospital Corporation, Boston, MA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61N 5/10 (2006.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G16H 20/40 (2018.01); G16H 50/30 (2018.01);
U.S. Cl.
CPC ...
A61N 5/1031 (2013.01); G16H 20/40 (2018.01); G16H 50/30 (2018.01);
Abstract

In providing radiation therapy (RT) support, a patient specific toxicity risk is estimated for a RT side effect using a Bayesian network that receives as inputs values of biomarkers of the patient. A patient-specific RT plan is optimized with respect to parameters including the patient-specific toxicity risk. During delivery of RT according to the plan, at least one updated value is received for the biomarkers of the patient, and an updated patient-specific toxicity risk is estimated using the Bayesian network with the updated value(s). The Bayesian network biomarker nodes and a toxicity risk node representing the patient specific toxicity risk, and directed arcs with arc weights representing strengths of interdependencies between the nodes connected by the directed arcs. A graphical user interface (GUI) is provided via which a clinician may interact with the Bayesian network. A test recommendation may be initiated or updated for scheduling of a patient test based on the updated patient-specific toxicity risk.


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