CA3078672A1 - Automated pattern recognition and scoring method of histological images - Google Patents

Automated pattern recognition and scoring method of histological images Download PDF

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Publication number
CA3078672A1
CA3078672A1 CA3078672A CA3078672A CA3078672A1 CA 3078672 A1 CA3078672 A1 CA 3078672A1 CA 3078672 A CA3078672 A CA 3078672A CA 3078672 A CA3078672 A CA 3078672A CA 3078672 A1 CA3078672 A1 CA 3078672A1
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Prior art keywords
fibrosis
score
steatosis
liver
subject
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CA3078672A
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English (en)
French (fr)
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John BROZEK
Nathalie DEGALLAIX
Benoit Noel
Elton Rexhepaj
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Genfit SA
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Genfit SA
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B10/00—Instruments for taking body samples for diagnostic purposes; Other methods or instruments for diagnosis, e.g. for vaccination diagnosis, sex determination or ovulation-period determination; Throat striking implements
    • A61B10/02—Instruments for taking cell samples or for biopsy
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/42—Detecting, measuring or recording for evaluating the gastrointestinal, the endocrine or the exocrine systems
    • A61B5/4222—Evaluating particular parts, e.g. particular organs
    • A61B5/4244—Evaluating particular parts, e.g. particular organs liver
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7278—Artificial waveform generation or derivation, e.g. synthesizing signals from measured signals
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
    • G01N33/576—Immunoassay; Biospecific binding assay; Materials therefor for hepatitis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/40—ICT 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
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT 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
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10056—Microscopic image
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30056—Liver; Hepatic

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Data Mining & Analysis (AREA)
  • Pathology (AREA)
  • Theoretical Computer Science (AREA)
  • Molecular Biology (AREA)
  • Databases & Information Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Biophysics (AREA)
  • Mathematical Physics (AREA)
  • Evolutionary Computation (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computing Systems (AREA)
  • Veterinary Medicine (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Physiology (AREA)
  • Immunology (AREA)
  • Quality & Reliability (AREA)
  • Chemical & Material Sciences (AREA)
  • Hematology (AREA)
  • Psychiatry (AREA)
  • Urology & Nephrology (AREA)
  • Gastroenterology & Hepatology (AREA)
  • Signal Processing (AREA)
CA3078672A 2017-10-20 2018-10-19 Automated pattern recognition and scoring method of histological images Pending CA3078672A1 (en)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
EP17197623 2017-10-20
EP17197623.6 2017-10-20
EP18166425 2018-04-09
EP18166425.1 2018-04-09
PCT/EP2018/078711 WO2019077108A2 (en) 2017-10-20 2018-10-19 AUTOMATED METHOD OF ASSESSING AND RECOGNIZING PROFILES ON HISTOLOGICAL IMAGES

Publications (1)

Publication Number Publication Date
CA3078672A1 true CA3078672A1 (en) 2019-04-25

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CA3078672A Pending CA3078672A1 (en) 2017-10-20 2018-10-19 Automated pattern recognition and scoring method of histological images

Country Status (9)

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US (1) US11676269B2 (https=)
EP (1) EP3698377A2 (https=)
JP (1) JP7293243B2 (https=)
KR (1) KR20200090757A (https=)
CN (1) CN111247596A (https=)
AU (1) AU2018351635A1 (https=)
CA (1) CA3078672A1 (https=)
MX (1) MX2020003990A (https=)
WO (1) WO2019077108A2 (https=)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022101853A1 (en) * 2020-11-16 2022-05-19 Novartis Ag Method of determining liver fibrosis
CN114550942A (zh) * 2022-02-16 2022-05-27 四川大学华西医院 一种肝脏显著纤维化预测模型及构建方法
US11527319B1 (en) * 2019-09-13 2022-12-13 PathAI, Inc. Systems and methods for frame-based validation
US20230411014A1 (en) * 2021-03-18 2023-12-21 Leica Biosystems Imaging, Inc. Apparatus and method for training of machine learning models using annotated image data for pathology imaging

Families Citing this family (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020027732A1 (en) * 2018-07-30 2020-02-06 Agency For Science, Technology And Research Method and system for assessing fibrosis in a tissue sample
BR112022001446A2 (pt) 2019-07-26 2022-07-12 Univ Leland Stanford Junior Sistemas e métodos para analisar, detectar e tratar formação de rede de tecido conjuntivo fibrótico
KR102938955B1 (ko) * 2019-09-11 2026-03-12 삼성전자주식회사 영상 인식 모델을 학습하는 전자 장치 및 그 동작 방법
WO2021141537A1 (en) * 2020-01-08 2021-07-15 Histoindex Pte Ltd Method and system for evaluating efficacy of a therapeutic intervention
WO2021191509A1 (fr) 2020-03-24 2021-09-30 Biocellvia Système et procédé pour produire un indicateur à partir d'une image d'une coupe histologique
CN112200763B (zh) * 2020-08-24 2024-08-06 江苏科技大学 一种基于肝脏ct影像的肝功能分级方法
CN112233811A (zh) * 2020-10-19 2021-01-15 江苏珂玛麒生物科技有限公司 一种nash肝脏数字病理分析系统、工作方法、应用
US11798165B2 (en) 2020-10-28 2023-10-24 Sony Group Corporation Tumor detection and segmentation for DPI AI platform routes
US11651496B2 (en) * 2021-03-11 2023-05-16 Ping An Technology (Shenzhen) Co., Ltd. Liver fibrosis recognition method based on medical images and computing device using thereof
WO2022191781A1 (en) * 2021-03-12 2022-09-15 Histoindex Pte Ltd Method and system for assessing nonalcoholic steatohepatitis
JP7699227B2 (ja) * 2021-05-21 2025-06-26 ヴェンタナ メディカル システムズ， インク． 病理組織画像におけるアーチファクトの自動セグメンテーション
CN113469939B (zh) * 2021-05-26 2022-05-03 透彻影像(北京)科技有限公司 一种基于特性曲线的her-2免疫组化自动判读系统
US12231802B2 (en) 2021-08-04 2025-02-18 Theia Scientific, LLC System and method for multi-modal microscopy
KR102755028B1 (ko) * 2021-10-12 2025-01-21 주식회사 유케어트론 측정스펙트럼 분석장치 및 분석방법
WO2023086032A2 (en) * 2021-11-11 2023-05-19 Histoindex Pte Ltd Method and system for assessing nash cirrhosis
AU2023225716A1 (en) * 2022-02-24 2024-09-12 Vinay Pulim System and method for annotating pathology images to predict patient outcome
WO2023204768A1 (en) * 2022-04-21 2023-10-26 Histoindex Pte Ltd Method and system for evaluating a therapeutic intervention
CN115565698B (zh) * 2022-10-26 2024-03-29 南方医科大学珠江医院 一种人工智能评估供肾质量的方法及系统
CN115439701B (zh) * 2022-11-07 2023-04-18 中国医学科学院北京协和医院 多模态超声图像的ra活动度深度学习方法及装置
CN116563206B (zh) * 2023-03-10 2025-04-01 复旦大学 肝脏病理切片图像的肝小叶炎症检测和定量装置和方法
CN119181455A (zh) * 2023-06-21 2024-12-24 赫斯托因德私人有限公司 用于预测代谢功能障碍相关联脂肪变性肝病的临床结果的方法和系统
CN116682109B (zh) * 2023-08-02 2023-11-17 深圳金质科技有限公司 一种病理显微图像的分析方法、装置、设备及存储介质
US12533394B2 (en) 2023-11-15 2026-01-27 Glycomantra Inc. Compositions and methods for treating metabolic disorders
GB2631590A (en) * 2024-06-17 2025-01-08 Histoindex Pte Ltd Method and system for predicting a clinical outcome of metabolic dysfunction-associated steatotic liver disease
CN118657792B (zh) * 2024-08-21 2025-01-14 南方医科大学南方医院 基于he图像的肝细胞癌病理组学分析方法、设备和介质
CN118782237B (zh) * 2024-09-13 2025-02-18 佛山复星禅诚医院有限公司 基于人工智能评估非酒精性脂肪肝模型的系统
CN121033844B (zh) * 2025-08-20 2026-03-24 上海市浦东医院（复旦大学附属浦东医院） 一种实验染色结果图像处理计算方法

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2201518A4 (en) * 2007-09-21 2011-12-21 Aperio Technologies Inc IMPROVED IMAGE QUALITY FOR DIGITAL DIAGNOSTIC RESOLUTION DIGITAL PICTURE PICTURES
JP5771513B2 (ja) * 2011-11-24 2015-09-02 学校法人慶應義塾 病理診断支援装置、病理診断支援方法、及び病理診断支援プログラム
CN103164599A (zh) * 2011-12-10 2013-06-19 西安百利信息科技有限公司 基于腹部ct图像传输的肝硬化远程会诊系统
WO2013189822A1 (en) * 2012-06-21 2013-12-27 Luric Datenbank Gbr Methods for determining the risk of mortality in patients with cardiovascular disease
SG11201505294SA (en) * 2013-01-08 2015-08-28 Agency Science Tech & Res A method and system for assessing fibrosis in a tissue
US9775533B2 (en) * 2013-03-08 2017-10-03 Singapore Health Services Pte Ltd System and method of determining a risk score for triage
US10061003B2 (en) 2014-09-01 2018-08-28 bioProtonics, L.L.C. Selective sampling for assessing structural spatial frequencies with specific contrast mechanisms
JP6763305B2 (ja) * 2014-12-09 2020-09-30 コニカミノルタ株式会社 画像処理装置及び画像処理プログラム
US10803143B2 (en) 2015-07-30 2020-10-13 Siemens Healthcare Gmbh Virtual biopsy techniques for analyzing diseases
JP6170994B2 (ja) * 2015-12-22 2017-07-26 株式会社フジミインコーポレーテッド 粉末積層造形に用いるための造形用材料

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US11527319B1 (en) * 2019-09-13 2022-12-13 PathAI, Inc. Systems and methods for frame-based validation
US11915823B1 (en) * 2019-09-13 2024-02-27 PathAI, Inc. Systems and methods for frame-based validation
WO2022101853A1 (en) * 2020-11-16 2022-05-19 Novartis Ag Method of determining liver fibrosis
US20230411014A1 (en) * 2021-03-18 2023-12-21 Leica Biosystems Imaging, Inc. Apparatus and method for training of machine learning models using annotated image data for pathology imaging
CN114550942A (zh) * 2022-02-16 2022-05-27 四川大学华西医院 一种肝脏显著纤维化预测模型及构建方法
CN114550942B (zh) * 2022-02-16 2023-06-30 四川大学华西医院 一种肝脏显著纤维化预测模型及构建方法

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US20210192722A1 (en) 2021-06-24
CN111247596A (zh) 2020-06-05
US11676269B2 (en) 2023-06-13
MX2020003990A (es) 2020-08-13
KR20200090757A (ko) 2020-07-29
WO2019077108A2 (en) 2019-04-25
AU2018351635A1 (en) 2020-05-07
JP2021500691A (ja) 2021-01-07
JP7293243B2 (ja) 2023-06-19
WO2019077108A3 (en) 2019-06-20
EP3698377A2 (en) 2020-08-26

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