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WO2019193362A3 - Determining a clinical outcome for a subject suffering from a macular degenerative disease - Google Patents

Determining a clinical outcome for a subject suffering from a macular degenerative disease Download PDF

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Publication number
WO2019193362A3
WO2019193362A3 PCT/GB2019/051003 GB2019051003W WO2019193362A3 WO 2019193362 A3 WO2019193362 A3 WO 2019193362A3 GB 2019051003 W GB2019051003 W GB 2019051003W WO 2019193362 A3 WO2019193362 A3 WO 2019193362A3
Authority
WO
WIPO (PCT)
Prior art keywords
macular
subject
clinical outcome
degenerative disease
determining
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.)
Ceased
Application number
PCT/GB2019/051003
Other languages
French (fr)
Other versions
WO2019193362A2 (en
Inventor
Nilkunj DODHIA
Nigel Davies
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.)
Macusoft Ltd
Original Assignee
Macusoft Ltd
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 Macusoft Ltd filed Critical Macusoft Ltd
Priority to GB2017496.7A priority Critical patent/GB2587551A/en
Publication of WO2019193362A2 publication Critical patent/WO2019193362A2/en
Publication of WO2019193362A3 publication Critical patent/WO2019193362A3/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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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

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Biomedical Technology (AREA)
  • Public Health (AREA)
  • Pathology (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Image Analysis (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Eye Examination Apparatus (AREA)

Abstract

A computer-implemented method of determining a clinical outcome for a subject suffering from a macular degenerative disease comprises: obtaining patient data relating to the subject and a plurality of macular images of the subject, the plurality of macular images comprising a plurality of images of at least a macular region in the subject's eye captured over a time period; inputting the obtained patient data and plurality of macular images to a machine learning algorithm, wherein the machine learning algorithm is trained to determine a clinical outcome for the subject in dependence on a progression of the macular degenerative disease over said time period; and outputting the determined clinical outcome for the subject. Apparatus for performing the method is also disclosed.
PCT/GB2019/051003 2018-04-05 2019-04-05 Determining a clinical outcome for a subject suffering from a macular degenerative disease Ceased WO2019193362A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
GB2017496.7A GB2587551A (en) 2018-04-05 2019-04-05 Determining a clinical outcome for a subject suffering from a macular degenerative disease

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
GB1805642.4 2018-04-05
GBGB1805642.4A GB201805642D0 (en) 2018-04-05 2018-04-05 Determining a clinical outcome for a subject suffering from a macular degenerative disease

Publications (2)

Publication Number Publication Date
WO2019193362A2 WO2019193362A2 (en) 2019-10-10
WO2019193362A3 true WO2019193362A3 (en) 2019-11-28

Family

ID=62202950

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/GB2019/051003 Ceased WO2019193362A2 (en) 2018-04-05 2019-04-05 Determining a clinical outcome for a subject suffering from a macular degenerative disease

Country Status (2)

Country Link
GB (2) GB201805642D0 (en)
WO (1) WO2019193362A2 (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114175095A (en) * 2019-08-02 2022-03-11 基因泰克公司 Processing images of eyes using deep learning to predict vision
CA3175082A1 (en) * 2020-04-29 2021-11-04 Novartis Ag A computer-implemented system and method for assessing a level of activity of a disease or condition in a patient's eye
US12300385B2 (en) 2021-03-31 2025-05-13 Welch Allyn, Inc. Automated disease identification based on ophthalmic images
GB2628328A (en) * 2023-01-19 2024-09-25 Macusoft Ltd Tracking progression of an ocular disease over time and determining a patient recall period

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160174830A1 (en) * 2013-07-31 2016-06-23 The Board Of Trustees Of The Leland Stanford Junior University Method and System for Evaluating Progression of Age-Related Macular Degeneration
WO2016177722A1 (en) * 2015-05-05 2016-11-10 Medizinische Universität Wien Computerized device and method for processing image data
WO2017096031A1 (en) * 2015-12-03 2017-06-08 Regeneron Pharmaceuticals, Inc. Methods of associating genetic variants with a clinical outcome in patients suffering from age-related macular degeneration treated with anti-vegf

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160174830A1 (en) * 2013-07-31 2016-06-23 The Board Of Trustees Of The Leland Stanford Junior University Method and System for Evaluating Progression of Age-Related Macular Degeneration
WO2016177722A1 (en) * 2015-05-05 2016-11-10 Medizinische Universität Wien Computerized device and method for processing image data
WO2017096031A1 (en) * 2015-12-03 2017-06-08 Regeneron Pharmaceuticals, Inc. Methods of associating genetic variants with a clinical outcome in patients suffering from age-related macular degeneration treated with anti-vegf

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
CECILIA S. LEE ET AL: "Deep Learning Is Effective for Classifying Normal versus Age-Related Macular Degeneration OCT Images", OPHTHALMOLOGY RETINA 20171101 ELSEVIER INC USA, vol. 1, no. 4, 1 July 2017 (2017-07-01), pages 322 - 327, XP055610592, ISSN: 2468-6530, DOI: 10.1016/j.oret.2016.12.009 *
JOHANNA M. SEDDON ET AL: "Risk Prediction for Progression of Macular Degeneration: 10 Common and Rare Genetic Variants, Demographic, Environmental, and Macular Covariates", INVESTIGATIVE OPTHALMOLOGY & VISUAL SCIENCE, vol. 56, no. 4, 10 April 2015 (2015-04-10), US, pages 2192, XP055390681, ISSN: 1552-5783, DOI: 10.1167/iovs.14-15841 *

Also Published As

Publication number Publication date
GB201805642D0 (en) 2018-05-23
WO2019193362A2 (en) 2019-10-10
GB202017496D0 (en) 2020-12-23
GB2587551A (en) 2021-03-31

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