CA3139352A1 - Identification of candidate signs indicative of an ntrk oncogenic fusion - Google Patents

Identification of candidate signs indicative of an ntrk oncogenic fusion Download PDF

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Publication number
CA3139352A1
CA3139352A1 CA3139352A CA3139352A CA3139352A1 CA 3139352 A1 CA3139352 A1 CA 3139352A1 CA 3139352 A CA3139352 A CA 3139352A CA 3139352 A CA3139352 A CA 3139352A CA 3139352 A1 CA3139352 A1 CA 3139352A1
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Prior art keywords
image
patient
ntrk
cancer
probability value
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CA3139352A
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English (en)
French (fr)
Inventor
Arndt Schmitz
Eren Metin ELCI
Faidra STAVROPOULOU
Mikhail KACHALA
Antti Karlsson
Mikko Tukiainen
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Bayer Consumer Care AG
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Bayer Consumer Care AG
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Publication of CA3139352A1 publication Critical patent/CA3139352A1/en
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/40ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0464Convolutional networks [CNN, ConvNet]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/09Supervised learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/096Transfer learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/69Microscopic objects, e.g. biological cells or cellular parts
    • G06V20/698Matching; Classification
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/40ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • General Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Quality & Reliability (AREA)
  • Multimedia (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Apparatus Associated With Microorganisms And Enzymes (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
CA3139352A 2019-05-10 2020-04-28 Identification of candidate signs indicative of an ntrk oncogenic fusion Pending CA3139352A1 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP19173832 2019-05-10
EP19173832.7 2019-05-10
PCT/EP2020/061665 WO2020229152A1 (en) 2019-05-10 2020-04-28 Identification of candidate signs indicative of an ntrk oncogenic fusion

Publications (1)

Publication Number Publication Date
CA3139352A1 true CA3139352A1 (en) 2020-11-19

Family

ID=66483934

Family Applications (1)

Application Number Title Priority Date Filing Date
CA3139352A Pending CA3139352A1 (en) 2019-05-10 2020-04-28 Identification of candidate signs indicative of an ntrk oncogenic fusion

Country Status (6)

Country Link
US (1) US12217851B2 (https=)
EP (1) EP3966830A1 (https=)
JP (1) JP7518097B2 (https=)
CN (1) CN113785365A (https=)
CA (1) CA3139352A1 (https=)
WO (1) WO2020229152A1 (https=)

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EP4248356A1 (en) 2020-11-20 2023-09-27 Bayer Aktiengesellschaft Representation learning
US11791035B2 (en) * 2021-03-09 2023-10-17 PAIGE.AI, Inc. Systems and methods for artificial intelligence powered molecular workflow verifying slide and block quality for testing
WO2023194090A1 (en) 2022-04-08 2023-10-12 Bayer Aktiengesellschaft Multiple instance learning considering neighborhood aggregations
US20250265832A1 (en) 2022-04-26 2025-08-21 Bayer Aktiengesellschaft Multiple-instance learning based on regional embeddings
WO2023213623A1 (en) 2022-05-03 2023-11-09 Bayer Aktiengesellschaft Dynamic sampling strategy for multiple-instance learning
EP4471710B1 (de) 2023-05-30 2025-12-17 Bayer Aktiengesellschaft Erkennen von artefakten in synthetischen medizinischen aufnahmen
EP4475070B1 (de) 2023-06-05 2026-04-22 Bayer Aktiengesellschaft Erkennen von artefakten in synthetischen medizinischen aufnahmen
EP4492324A1 (de) 2023-07-12 2025-01-15 Bayer AG Erkennen von artefakten in synthetischen medizinischen aufnahmen
US20250045926A1 (en) 2023-07-25 2025-02-06 Bayer Aktiengesellschaft Detection of artifacts in synthetic images
EP4560648A1 (en) 2023-11-22 2025-05-28 Bayer AG Generating synthetic training data
EP4567715A1 (en) 2023-12-06 2025-06-11 Bayer Aktiengesellschaft Generating synthetic representations
WO2025119803A1 (en) 2023-12-06 2025-06-12 Bayer Aktiengesellschaft Generating synthetic medical representations
EP4571650A1 (en) 2023-12-12 2025-06-18 Bayer AG Generating synthetic images
EP4575997A1 (en) 2023-12-18 2025-06-25 Bayer Aktiengesellschaft Generating synthetic images
WO2025190827A1 (en) 2024-03-15 2025-09-18 Bayer Aktiengesellschaft Generation of a synthetic medical image

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US6754380B1 (en) * 2003-02-14 2004-06-22 The University Of Chicago Method of training massive training artificial neural networks (MTANN) for the detection of abnormalities in medical images
US7467119B2 (en) 2003-07-21 2008-12-16 Aureon Laboratories, Inc. Systems and methods for treating, diagnosing and predicting the occurrence of a medical condition
WO2007023522A1 (ja) * 2005-08-22 2007-03-01 National Center Of Neurology And Psychiatry 脳疾患の診断支援方法及び装置
US20080032321A1 (en) * 2006-08-07 2008-02-07 General Electric Company System and methods for analyzing images of tissue samples
MX349568B (es) * 2010-11-30 2017-08-03 Univ Hong Kong Chinese Deteccion de aberraciones geneticas o moleculares asociadas con el cancer.
CN109478231A (zh) * 2016-04-01 2019-03-15 20/20基因系统股份有限公司 帮助区别良性和恶性放射线照相明显肺结节的方法和组合物
JP6843521B2 (ja) * 2016-04-28 2021-03-17 キヤノン株式会社 画像処理装置及び画像処理方法
US10026173B2 (en) * 2016-11-06 2018-07-17 Dde Mri Solutions Ltd. Diffusion ellipsoid mapping of tissue
US9922421B1 (en) * 2016-11-06 2018-03-20 Hadassa Degani Diffusion ellipsoid mapping of tissue
WO2018156133A1 (en) 2017-02-23 2018-08-30 Google Llc Method and system for assisting pathologist identification of tumor cells in magnified tissue images
US11107189B2 (en) 2017-04-07 2021-08-31 Intel Corporation Methods and systems using improved convolutional neural networks for image processing
US11636288B2 (en) * 2017-11-06 2023-04-25 University Health Network Platform, device and process for annotation and classification of tissue specimens using convolutional neural network
US12602772B2 (en) * 2018-01-08 2026-04-14 Progenics Pharmaceuticals, Inc. Systems and methods for rapid neural network-based image segmentation and radiopharmaceutical uptake determination
US11164309B2 (en) * 2019-04-10 2021-11-02 International Business Machines Corporation Image analysis and annotation

Also Published As

Publication number Publication date
WO2020229152A1 (en) 2020-11-19
JP2022531961A (ja) 2022-07-12
JP7518097B2 (ja) 2024-07-17
US20220223261A1 (en) 2022-07-14
CN113785365A (zh) 2021-12-10
EP3966830A1 (en) 2022-03-16
US12217851B2 (en) 2025-02-04

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