EP4771390A2 - Systèmes et procédés de détection et de classification d'erreurs pré-analytiques dans des diagnostics cliniques de laboratoire - Google Patents

Systèmes et procédés de détection et de classification d'erreurs pré-analytiques dans des diagnostics cliniques de laboratoire

Info

Publication number
EP4771390A2
EP4771390A2 EP24860676.6A EP24860676A EP4771390A2 EP 4771390 A2 EP4771390 A2 EP 4771390A2 EP 24860676 A EP24860676 A EP 24860676A EP 4771390 A2 EP4771390 A2 EP 4771390A2
Authority
EP
European Patent Office
Prior art keywords
biomarkers
biomarker
autoencoder
panel
measured
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.)
Pending
Application number
EP24860676.6A
Other languages
German (de)
English (en)
Inventor
Taras Dudykevych
Joshua SAVINA
David Wood
Paavana Sainath
Charles Cooper
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Siemens Healthcare Diagnostics Inc
Original Assignee
Siemens Healthcare Diagnostics Inc
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Siemens Healthcare Diagnostics Inc filed Critical Siemens Healthcare Diagnostics Inc
Publication of EP4771390A2 publication Critical patent/EP4771390A2/fr
Pending legal-status Critical Current

Links

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
    • 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
    • G06N3/045—Combinations of networks
    • 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
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • 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
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/20—Supervised data 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
    • 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
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Theoretical Computer Science (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Epidemiology (AREA)
  • Biophysics (AREA)
  • Evolutionary Computation (AREA)
  • Primary Health Care (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Pathology (AREA)
  • Bioethics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biotechnology (AREA)
  • Evolutionary Biology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Investigating Or Analysing Biological Materials (AREA)

Abstract

Dans certains modes de réalisation, un procédé de création d'un système d'autovérification basé sur l'apprentissage automatique destiné aux diagnostics cliniques de laboratoire comprend l'obtention d'un ensemble de données d'apprentissage de biomarqueur, l'ensemble de données d'apprentissage de biomarqueur comprenant des valeurs de biomarqueur pour une pluralité de biomarqueurs. Le procédé consiste également à entraîner un autocodeur utilisant l'ensemble de données d'apprentissage de biomarqueur à la fois en tant qu'entrée et en tant que cible pour que l'autocodeur crée un auto-codeur entraîné. Le procédé consiste en outre à déployer l'autocodeur entraîné dans un hôpital ou un laboratoire. La présente invention propose de nombreux autres modes de réalisation.
EP24860676.6A 2023-08-28 2024-07-30 Systèmes et procédés de détection et de classification d'erreurs pré-analytiques dans des diagnostics cliniques de laboratoire Pending EP4771390A2 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202363579060P 2023-08-28 2023-08-28
PCT/US2024/040126 WO2025049026A2 (fr) 2023-08-28 2024-07-30 Systèmes et procédés de détection et de classification d'erreurs pré-analytiques dans des diagnostics cliniques de laboratoire

Publications (1)

Publication Number Publication Date
EP4771390A2 true EP4771390A2 (fr) 2026-07-08

Family

ID=94819998

Family Applications (1)

Application Number Title Priority Date Filing Date
EP24860676.6A Pending EP4771390A2 (fr) 2023-08-28 2024-07-30 Systèmes et procédés de détection et de classification d'erreurs pré-analytiques dans des diagnostics cliniques de laboratoire

Country Status (3)

Country Link
EP (1) EP4771390A2 (fr)
CN (1) CN121844209A (fr)
WO (1) WO2025049026A2 (fr)

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030100010A1 (en) * 2001-11-23 2003-05-29 George Jackowski Fibrinogen biopolymer Marker predictive of type II diabetes
US7392140B2 (en) * 2003-09-23 2008-06-24 Prediction Sciences, Llc Cellular fibronectin as a diagnostic marker in stroke and methods of use thereof
US20080010024A1 (en) * 2003-09-23 2008-01-10 Prediction Sciences Llp Cellular fibronectin as a diagnostic marker in cardiovascular disease and methods of use thereof
US10242443B2 (en) * 2016-11-23 2019-03-26 General Electric Company Deep learning medical systems and methods for medical procedures
CN114730613A (zh) * 2019-09-05 2022-07-08 奥克塔夫生物科学公司 用于预测多发性硬化症疾病活动的生物标志物

Also Published As

Publication number Publication date
CN121844209A (zh) 2026-04-10
WO2025049026A2 (fr) 2025-03-06
WO2025049026A3 (fr) 2025-04-10

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