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:
Aug. 26, 2025

Filed:

Jun. 06, 2024
Applicant:

Cytel Inc., Waltham, MA (US);

Inventors:

Jaydeep Bhattacharyya, Acton, MA (US);

James Bolognese, Woodbridge, NJ (US);

Alexandre Buer, Holliston, MA (US);

Eric Edwards, Nolensville, TN (US);

Stanley Y. Huang, Wellesley, MA (US);

Yannis Jemiai, Lexington, MA (US);

Cyrus Mehta, Cambridge, MA (US);

Nitin Patel, Cambridge, MA (US);

Anne Pelz, Arlington, MA (US);

Ajay Prabhakar Sathe, Pune, IN;

Joshua A. Schultz, Boston, MA (US);

Pralay Senchaudhuri, Cambridge, MA (US);

Assignee:

Cytel Inc., Waltham, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 10/20 (2018.01); G06F 30/10 (2020.01); G06F 30/12 (2020.01); G06F 30/20 (2020.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06Q 10/0631 (2023.01); G06Q 10/067 (2023.01); G06Q 30/0204 (2023.01); G16H 40/20 (2018.01); G16H 50/70 (2018.01); G06F 111/02 (2020.01); G06F 111/04 (2020.01); G06F 111/06 (2020.01); G06F 111/08 (2020.01); G06F 111/16 (2020.01);
U.S. Cl.
CPC ...
G16H 10/20 (2018.01); G06F 30/10 (2020.01); G06F 30/12 (2020.01); G06F 30/20 (2020.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 10/06315 (2013.01); G06Q 10/067 (2013.01); G06Q 30/0205 (2013.01); G16H 40/20 (2018.01); G16H 50/70 (2018.01); G06F 2111/02 (2020.01); G06F 2111/04 (2020.01); G06F 2111/06 (2020.01); G06F 2111/08 (2020.01); G06F 2111/16 (2020.01);
Abstract

A method for determining trial designs is provided. The method includes receiving, via at least one processor, one or more trial design criteria and one or more scenarios corresponding to a set of trial designs, and generating, via the at least one processor, simulation data based at least in part on replicating each of the set of trial designs with the one or more trial design criteria and the one or more scenarios. The simulation data includes performance parameters and performance parameter values associated with each design in the set of designs for a set of criteria. The method further includes determining, via the at least one processor, an optimality criteria for evaluating the trial designs, searching, within the set of trial designs, via the at least one processor, for globally optimum designs based on the optimality criteria, and transmitting, via the at least one processor, globally optimum designs.


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