US 11,972,859 B2
Computational pathology approach for retrospective analysis of tissue-based companion diagnostic driven clinical trial studies
Michael Barnes, Tucson, AZ (US); Christophe Chefd'hotel, Tucson, AZ (US); and Srinivas Chukka, Tucson, AZ (US)
Assigned to VENTANA MEDICAL SYSTEMS, INC., Tucson, AZ (US)
Filed by VENTANA MEDICAL SYSTEMS, INC., Tucson, AZ (US)
Filed on Jun. 16, 2023, as Appl. No. 18/336,890.
Application 18/336,890 is a continuation of application No. 16/907,632, filed on Jun. 22, 2020, granted, now 11,721,427.
Application 16/907,632 is a continuation of application No. PCT/EP2018/085308, filed on Dec. 17, 2018.
Claims priority of provisional application 62/610,216, filed on Dec. 24, 2017.
Prior Publication US 2023/0352151 A1, Nov. 2, 2023
Int. Cl. G06K 9/00 (2022.01); G06T 7/00 (2017.01); G06V 20/69 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01)
CPC G16H 30/40 (2018.01) [G06T 7/0012 (2013.01); G06V 20/695 (2022.01); G06V 20/698 (2022.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
calculating one or more first image feature metrics from a plurality of images of biological samples derived from a first patient population;
generating tissue feature data for the first patient population by combining the one or more first image feature metrics with tissue analysis data corresponding to the biological samples derived from the first patient population;
calculating a first patient population correlation matrix based on the tissue feature data for the first patient population and clinical attributes of the first patient population;
calculating one or more second image feature metrics from a plurality of images of biological samples derived from a second patient population;
generating tissue feature data for the second patient population by combining the one or more second image feature metrics with tissue analysis data corresponding to the biological samples derived from the second patient population;
calculating a second patient population correlation matrix based on the tissue feature data for the second patient population and clinical attributes of the second patient population; and
determining, based on a comparison of the first patient population correlation matrix and second patient population correlation matrix, that the tissue feature data for the first patient population is similar to the tissue feature data for the second patient population.