CA3143932A1 - Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient - Google Patents
Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient Download PDFInfo
- Publication number
- CA3143932A1 CA3143932A1 CA3143932A CA3143932A CA3143932A1 CA 3143932 A1 CA3143932 A1 CA 3143932A1 CA 3143932 A CA3143932 A CA 3143932A CA 3143932 A CA3143932 A CA 3143932A CA 3143932 A1 CA3143932 A1 CA 3143932A1
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- Prior art keywords
- skin tone
- image
- patient
- base skin
- diagnosis
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
- A61B5/0013—Medical image data
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0077—Devices for viewing the surface of the body, e.g. camera, magnifying lens
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- A—HUMAN NECESSITIES
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- A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/1032—Determining colour of tissue for diagnostic purposes
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- A—HUMAN NECESSITIES
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- A61B5/44—Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
- A61B5/441—Skin evaluation, e.g. for skin disorder diagnosis
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- A61B5/441—Skin evaluation, e.g. for skin disorder diagnosis
- A61B5/444—Evaluating skin marks, e.g. mole, nevi, tumour, scar
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
- A61B5/6898—Portable consumer electronic devices, e.g. music players, telephones, tablet computers
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- 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
- A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
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- A—HUMAN NECESSITIES
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
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- G06F18/24765—Rule-based classification
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- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- G06T7/0002—Inspection of images, e.g. flaw detection
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- G06T7/0014—Biomedical image inspection using an image reference approach
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- G06T7/90—Determination of colour characteristics
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- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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- G—PHYSICS
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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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
- 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
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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
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2576/00—Medical imaging apparatus involving image processing or analysis
- A61B2576/02—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part
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- 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
- G06T2207/10024—Color image
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G06T2207/20008—Globally adaptive
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- G06T2207/20076—Probabilistic image processing
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- G—PHYSICS
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- G06T2207/20081—Training; Learning
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
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- 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
- G06T2207/30088—Skin; Dermal
-
- 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
- G06T2207/30168—Image quality inspection
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/03—Recognition of patterns in medical or anatomical images
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- Theoretical Computer Science (AREA)
- Pathology (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Physics & Mathematics (AREA)
- Biophysics (AREA)
- Heart & Thoracic Surgery (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
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- Multimedia (AREA)
- Evolutionary Computation (AREA)
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- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Software Systems (AREA)
- Physiology (AREA)
- Primary Health Care (AREA)
- Epidemiology (AREA)
- Databases & Information Systems (AREA)
- Psychiatry (AREA)
- Signal Processing (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Dermatology (AREA)
- Quality & Reliability (AREA)
- General Engineering & Computer Science (AREA)
- Fuzzy Systems (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Dentistry (AREA)
- Human Computer Interaction (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201962862844P | 2019-06-18 | 2019-06-18 | |
| US62/862,844 | 2019-06-18 | ||
| PCT/US2020/037765 WO2020257108A1 (en) | 2019-06-18 | 2020-06-15 | Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CA3143932A1 true CA3143932A1 (en) | 2020-12-24 |
Family
ID=74040871
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA3143932A Pending CA3143932A1 (en) | 2019-06-18 | 2020-06-15 | Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient |
Country Status (9)
| Country | Link |
|---|---|
| US (3) | US12014828B2 (https=) |
| EP (2) | EP3986251B1 (https=) |
| JP (2) | JP7693563B2 (https=) |
| KR (2) | KR20250069694A (https=) |
| CN (2) | CN114269231B (https=) |
| AU (3) | AU2020297355B2 (https=) |
| CA (1) | CA3143932A1 (https=) |
| IL (2) | IL288988B2 (https=) |
| WO (1) | WO2020257108A1 (https=) |
Families Citing this family (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020257108A1 (en) | 2019-06-18 | 2020-12-24 | 3Derm Systems, Inc. | Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient |
| KR20210152179A (ko) * | 2020-06-08 | 2021-12-15 | 주식회사 휴먼피부임상시험센터 | 시리얼 피부 유형 분석과 맞춤형 화장품 조제 장치 |
| US11138734B1 (en) * | 2021-02-19 | 2021-10-05 | Vr Media Technology, Inc. | Hyperspectral facial analysis system and method for personalized health scoring |
| US12299874B2 (en) | 2021-12-16 | 2025-05-13 | The Gillette Company Llc | Digital imaging systems and methods of analyzing pixel data of an image of a skin area of a user for determining skin dryness |
| US12230062B2 (en) | 2021-12-16 | 2025-02-18 | The Gillette Company Llc | Digital imaging systems and methods of analyzing pixel data of an image of a skin area of a user for determining dark eye circles |
| US12249064B2 (en) | 2021-12-16 | 2025-03-11 | The Gillette Company Llc | Digital imaging systems and methods of analyzing pixel data of an image of a skin area of a user for determining skin puffiness |
| US12322201B2 (en) * | 2021-12-16 | 2025-06-03 | The Gillette Company Llc | Digital imaging systems and methods of analyzing pixel data of an image of a skin area of a user for determining skin hyperpigmentation |
| US12243223B2 (en) | 2021-12-16 | 2025-03-04 | The Gillette Company Llc | Digital imaging systems and methods of analyzing pixel data of an image of a skin area of a user for determining skin oiliness |
| US12524873B2 (en) | 2021-12-16 | 2026-01-13 | The Gillette Company Llc | Digital imaging systems and methods of analyzing pixel data of an image of a skin area of a user for determining body contour |
| KR102606790B1 (ko) * | 2023-03-07 | 2023-11-29 | 주식회사 바스젠바이오 | 의료용 이미지 데이터 퀄리티 스크리닝 시스템 및 그 방법 |
| WO2025160094A1 (en) * | 2024-01-22 | 2025-07-31 | Digital Diagnostics Inc. | Artificial intelligence enabled sub-classifications of disease states |
Family Cites Families (36)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CA2377098A1 (en) * | 1999-07-26 | 2001-02-01 | Cardiosense Ltd. | An improved method and apparatus for the detection of medical conditions of shock and pre-shock |
| US8543519B2 (en) * | 2000-08-07 | 2013-09-24 | Health Discovery Corporation | System and method for remote melanoma screening |
| US6690822B1 (en) | 2000-10-20 | 2004-02-10 | Eastman Kodak Company | Method for detecting skin color in a digital image |
| ITMI20030541A1 (it) * | 2003-03-20 | 2004-09-21 | Ist Naz Stud Cura Dei Tumori | Apparecchio per la caratterizzazione di lesioni pigmentale della cute |
| US20050049467A1 (en) | 2003-08-28 | 2005-03-03 | Georgios Stamatas | Method for assessing pigmented skin |
| US8583216B2 (en) | 2004-04-27 | 2013-11-12 | University Of Utah Research Foundation | Skin type assessment and nevi screening for skin cancer with a noninvasive, portable reflectance spectrophotometer |
| US20070016076A1 (en) | 2005-07-18 | 2007-01-18 | Kambiz Youabian | Dermatone skin analyzer |
| WO2010093503A2 (en) * | 2007-01-05 | 2010-08-19 | Myskin, Inc. | Skin analysis methods |
| US8296247B2 (en) | 2007-03-23 | 2012-10-23 | Three Palm Software | Combination machine learning algorithms for computer-aided detection, review and diagnosis |
| CN101251898B (zh) * | 2008-03-25 | 2010-09-15 | 腾讯科技(深圳)有限公司 | 一种肤色检测方法及装置 |
| US8406482B1 (en) * | 2008-08-28 | 2013-03-26 | Adobe Systems Incorporated | System and method for automatic skin tone detection in images |
| US8385638B2 (en) | 2009-01-05 | 2013-02-26 | Apple Inc. | Detecting skin tone in images |
| JP2013511341A (ja) * | 2009-11-17 | 2013-04-04 | ヴェラライト,インコーポレイテッド | 冠動脈石灰化又は冠動脈疾患を検出する方法及び装置 |
| US11074495B2 (en) * | 2013-02-28 | 2021-07-27 | Z Advanced Computing, Inc. (Zac) | System and method for extremely efficient image and pattern recognition and artificial intelligence platform |
| FR2984721B1 (fr) * | 2011-12-26 | 2014-08-22 | Chanel Parfums Beaute | Procede et dispositif de detection et de quantification de signes cutanes sur une zone de peau |
| US8705853B2 (en) * | 2012-04-20 | 2014-04-22 | Apple Inc. | Detecting skin tone |
| EP2733664A1 (en) * | 2012-11-09 | 2014-05-21 | Skin Analytics Ltd | Skin image analysis |
| WO2014172033A1 (en) * | 2013-03-12 | 2014-10-23 | University Of Washington Through Its Center For Commercialization | Estimating bilirubin levels |
| EP2781191A1 (en) | 2013-03-19 | 2014-09-24 | Schnidar, Harald | Methods for assessing erythema |
| US9220462B2 (en) * | 2013-05-24 | 2015-12-29 | Toshiba America Electronic Components, Inc. | Imaging sensor and method for biometric mapping of facial skin |
| US10182757B2 (en) * | 2013-07-22 | 2019-01-22 | The Rockefeller University | System and method for optical detection of skin disease |
| EP3251332B1 (en) * | 2015-01-27 | 2021-07-07 | Healthy.IO Ltd | Measuring and monitoring skin feature colors, form and size |
| US10799150B2 (en) * | 2015-12-22 | 2020-10-13 | Picterus As | Image based bilirubin determination |
| KR101812406B1 (ko) * | 2016-03-16 | 2017-12-27 | 동국대학교 산학협력단 | 피부질환 진단 방법 및 피부질환 진단 시스템 |
| US10223788B2 (en) * | 2016-08-31 | 2019-03-05 | International Business Machines Corporation | Skin lesion segmentation using deep convolution networks guided by local unsupervised learning |
| EP3291173B1 (en) | 2016-09-02 | 2025-04-09 | Casio Computer Co., Ltd. | Diagnosis assisting device, image processing method in diagnosis assisting device, and program |
| JP6361776B2 (ja) * | 2016-09-02 | 2018-07-25 | カシオ計算機株式会社 | 診断支援装置、及び診断支援装置における画像処理方法、並びにプログラム |
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| US10354383B2 (en) * | 2016-12-30 | 2019-07-16 | Skinio, Llc | Skin abnormality monitoring systems and methods |
| CN107563997B (zh) * | 2017-08-24 | 2020-06-02 | 京东方科技集团股份有限公司 | 一种皮肤病诊断系统、构建方法、分类方法和诊断装置 |
| CN107909566A (zh) * | 2017-10-28 | 2018-04-13 | 杭州电子科技大学 | 一种基于深度学习的皮肤癌黑色素瘤的图像识别方法 |
| CN108272437A (zh) * | 2017-12-27 | 2018-07-13 | 中国科学院西安光学精密机械研究所 | 用于皮肤病诊断的光谱检测系统和分类器模型构建方法 |
| CN108830853A (zh) * | 2018-07-20 | 2018-11-16 | 东北大学 | 一种基于人工智能的黑色素瘤辅助诊断方法 |
| CN109493342B (zh) * | 2018-12-13 | 2021-02-09 | 杭州电子科技大学 | 一种基于深度学习的皮肤病图片病变类型分类方法 |
| US11176669B2 (en) * | 2019-04-14 | 2021-11-16 | Holovisions LLC | System for remote medical imaging using two conventional smart mobile devices and/or augmented reality (AR) |
| WO2020257108A1 (en) | 2019-06-18 | 2020-12-24 | 3Derm Systems, Inc. | Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient |
-
2020
- 2020-06-15 WO PCT/US2020/037765 patent/WO2020257108A1/en not_active Ceased
- 2020-06-15 KR KR1020257014705A patent/KR20250069694A/ko active Pending
- 2020-06-15 EP EP20825716.2A patent/EP3986251B1/en active Active
- 2020-06-15 KR KR1020227001674A patent/KR102805332B1/ko active Active
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- 2020-06-15 IL IL288988A patent/IL288988B2/en unknown
- 2020-06-15 CN CN202080058250.4A patent/CN114269231B/zh active Active
- 2020-06-15 US US17/619,173 patent/US12014828B2/en active Active
- 2020-06-15 CN CN202411249717.XA patent/CN118844948A/zh active Pending
- 2020-06-15 CA CA3143932A patent/CA3143932A1/en active Pending
- 2020-06-15 EP EP25195696.7A patent/EP4625350A3/en active Pending
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2024
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2025
- 2025-02-26 JP JP2025028921A patent/JP2025071326A/ja active Pending
- 2025-05-07 US US19/201,779 patent/US20250266168A1/en active Pending
- 2025-09-04 IL IL323186A patent/IL323186A/en unknown
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2026
- 2026-03-04 AU AU2026201660A patent/AU2026201660A1/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| EP4625350A3 (en) | 2025-12-31 |
| CN114269231B (zh) | 2024-09-10 |
| JP2022536808A (ja) | 2022-08-18 |
| CN118844948A (zh) | 2024-10-29 |
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