US 12,334,192 B2
Computer-implemented system and method for identifying similar patients
Gaurav Singal, Cambridge, MA (US); and Mary Patricia Lancelotta, Somerville, MA (US)
Assigned to Foundation Medicine, Inc., Boston, MA (US)
Filed by FOUNDATION MEDICINE, INC., Cambridge, MA (US)
Filed on Sep. 23, 2019, as Appl. No. 16/579,508.
Application 16/579,508 is a continuation of application No. 14/972,715, filed on Dec. 17, 2015.
Application 14/972,715 is a continuation in part of application No. 14/463,068, filed on Aug. 19, 2014.
Application 14/463,068 is a continuation in part of application No. 14/146,743, filed on Jan. 3, 2014.
Application 14/972,715 is a continuation in part of application No. 14/146,743, filed on Jan. 3, 2014.
Claims priority of provisional application 62/093,397, filed on Dec. 17, 2014.
Claims priority of provisional application 61/749,288, filed on Jan. 5, 2013.
Claims priority of provisional application 61/749,291, filed on Jan. 5, 2013.
Prior Publication US 2020/0020452 A1, Jan. 16, 2020
This patent is subject to a terminal disclaimer.
Int. Cl. G16B 50/00 (2019.01); G06F 16/245 (2019.01); G06F 16/901 (2019.01); G16B 50/30 (2019.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G16H 70/60 (2018.01); G16H 80/00 (2018.01)
CPC G16B 50/00 (2019.02) [G06F 16/245 (2019.01); G06F 16/9024 (2019.01); G16B 50/30 (2019.02); G16H 10/60 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G16H 70/60 (2018.01); G16H 80/00 (2018.01); G16H 15/00 (2018.01)] 19 Claims
 
1. A method of identifying patient-specific treatment based on genomic information, comprising:
receiving, by one or more processors, a plurality of genomic alterations;
generating a plurality of genomic alteration groups by grouping the plurality of genomic alterations based on functional similarities of the plurality of genomic alterations;
receiving, by the one or more processors, a plurality of disease subtypes;
generating a plurality of disease ontology groups by grouping the plurality of disease subtypes based on functional similarities of the plurality of disease subtypes;
receiving, by the one or more processors, data representing a genomic alteration and a disease phenotype associated with a patient;
generating, based on the data representing the genomic alteration and the disease phenotype associated with the patient, a tuple data structure comprising two elements connected by a relation;
adding the tuple data structure to a data model comprising a plurality of tuples, wherein the data model comprises a learning model configured to be improved over time;
determining if there is another patient having the same genomic alteration and the same disease phenotype associated with the patient;
if there is no patient having the genomic alteration and the same disease phenotype associated with the patient:
automatically identifying from the generated plurality of genomic alteration groups, by the one or more processors, a pre-defined genomic alteration group comprising the genomic alteration;
automatically identifying from the generated plurality of disease ontology groups, by the one or more processors, a pre-defined disease ontology group comprising the disease phenotype;
automatically identifying, by the one or more processors, a plurality of similar patients based on the pre-defined genomic alteration group and the pre-defined disease ontology group;
displaying, on a display, a selectable data structure corresponding to the genomic alteration, wherein the data structure comprises information related to one or more physicians that provided treatment to the plurality of similar patients;
receiving a user selection of the data structure; and
responsive to receiving the user selection,
providing a user control for sending a request to one of the one or more physicians, and
identifying a patient-specific treatment for the patient based on the plurality of similar patients.