US 12,073,561 B2
Multiscale modeling to determine molecular profiles from radiology
Andrew J. Buckler, Boston, MA (US); Kjell Johnson, Ann Arbor, MI (US); Xiaonan Ma, South Hamilton, MA (US); Keith A. Moulton, Amesbury, MA (US); Mark A. Buckler, Wenham, MA (US); Vladimir Valtchinov, Waban, MA (US); and David S. Paik, Moon Bay, CA (US)
Assigned to ELUCID BIOIMAGING INC., Boston, MA (US)
Filed by ELUCID BIOIMAGING INC., Boston, MA (US)
Filed on Feb. 8, 2023, as Appl. No. 18/166,284.
Application 18/166,284 is a continuation of application No. 17/328,414, filed on May 24, 2021.
Application 17/328,414 is a continuation of application No. 16/203,418, filed on Nov. 28, 2018, granted, now 11,094,058, issued on Aug. 17, 2021.
Application 16/203,418 is a continuation in part of application No. 14/959,732, filed on Dec. 4, 2015, granted, now 10,176,408, issued on Jan. 8, 2018.
Claims priority of provisional application 62/771,448, filed on Nov. 26, 2018.
Claims priority of provisional application 62/676,975, filed on May 27, 2018.
Claims priority of provisional application 62/219,860, filed on Sep. 17, 2015.
Claims priority of provisional application 62/205,295, filed on Aug. 14, 2015.
Claims priority of provisional application 62/205,313, filed on Aug. 14, 2015.
Claims priority of provisional application 62/205,305, filed on Aug. 14, 2015.
Claims priority of provisional application 62/205,322, filed on Aug. 14, 2015.
Prior Publication US 2023/0237759 A1, Jul. 27, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/00 (2017.01); G06F 18/211 (2023.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01); G06T 3/00 (2006.01); G06T 5/73 (2024.01); G06T 7/11 (2017.01); G06V 10/25 (2022.01); G06V 10/764 (2022.01); G06V 20/69 (2022.01)
CPC G06T 7/0012 (2013.01) [G06F 18/211 (2023.01); G06F 18/2148 (2023.01); G06F 18/24 (2023.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 3/00 (2013.01); G06T 5/73 (2024.01); G06T 7/11 (2017.01); G06V 10/25 (2022.01); G06V 10/764 (2022.01); G06V 20/69 (2022.01); G06T 2207/10048 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10101 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10108 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30104 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for computer aided determination of omics of a pathology using an enriched radiological dataset, the method comprising:
receiving a radiological dataset for a patient, wherein the radiological dataset is obtained without subjecting the patient to an invasive procedure;
enriching the dataset by performing semantic segmentation to identify and classify one or more of: (i) anatomic structure, (ii) shape or geometry or (iii) tissue characteristic, type, or character, with objective validation for a set of analytes relevant to a pathology to produce an annotated dataset based on the radiological dataset; and
using a machine learned classification approach based on known ground truths to process the enriched dataset and determine an omic profile for the pathology.