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:
Jan. 17, 2023

Filed:

Feb. 25, 2020
Applicant:

Novocure Gmbh, Root, CH;

Inventors:

Moshe Giladi, Moshav Herut, IL;

Einav Zeevi, Zichron Yaakov, IL;

Cornelia Wenger, Ericeira, PT;

Zeev Bomzon, Kiryat Tivon, IL;

Assignee:

Novocure GmbH, Root, CH;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61N 1/36 (2006.01); G01N 27/22 (2006.01); G01N 27/447 (2006.01); G01N 33/483 (2006.01); G01N 33/487 (2006.01); A61B 5/053 (2021.01); A61N 1/40 (2006.01);
U.S. Cl.
CPC ...
A61N 1/36002 (2017.08); A61B 5/053 (2013.01); A61N 1/40 (2013.01); G01N 27/221 (2013.01); G01N 27/447 (2013.01); G01N 33/4833 (2013.01); G01N 33/48728 (2013.01);
Abstract

Cancer treatment using TTFields (Tumor Treating Fields) can be customized to each individual subject by obtaining cancer cells from the subject, determining an electrical characteristic (e.g., dielectrophoretic forces, cell membrane capacitance, etc.) of the cancer cells, determining a frequency for the TTFields based on the determined electrical characteristic, and treating the cancer by applying TTFields to the subject at the determined frequency. In addition, cancer treatment can be planned for each individual subject by obtaining cancer cells from the subject, determining an electrical characteristic of the cancer cells, predicting whether TTFields would be effective to treat the cancer based on the determined electrical characteristic, and treating the subject by applying TTFields if the prediction indicates that TTFields would be effective.


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