Title:
DISEASE IDENTIFICATION ASSISTING METHOD, DISEASE IDENTIFICATION ASSISTING DEVICE, AND DISEASE IDENTIFICATION ASSISTING COMPUTER PROGRAM
Document Type and Number:
WIPO Patent Application WO/2021/200977
Kind Code:
A1
Abstract:
The present invention addresses the problem of providing a disease identification assisting method, a disease identification assisting device, and a disease identification assisting computer program which make it possible to assist in disease identification by simply preprocessing a sample. The problem is addressed by a disease identification assisting method for assisting in the identification of a disease, the method involving: acquiring a first parameter group including first parameters obtained by analyzing an image including cells included in a sample extracted from a subject; acquiring a second parameter group including second parameters obtained by analyzing optical signals or electrical signals obtained from the cells included in the sample; and generating, by using a computer algorithm, identification assistance information for assisting in the identification of the disease on the basis of the first parameter group and the second parameter group.
Inventors:
OHSAKA AKIMICHI (JP)
TABE YOKO (JP)
KIMURA KONOBU (JP)
TABE YOKO (JP)
KIMURA KONOBU (JP)
Application Number:
PCT/JP2021/013583
Publication Date:
October 07, 2021
Filing Date:
March 30, 2021
Export Citation:
Assignee:
JUNTENDO EDUCATIONAL FOUND (JP)
SYSMEX CORP (JP)
SYSMEX CORP (JP)
International Classes:
G01N15/14; G01N33/48
Domestic Patent References:
WO2020011487A1 | 2020-01-16 |
Foreign References:
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Other References:
MANJA MEGGENDORFER ET AL.: "Deep learning algorithms Support Distinction of PV, PMF, and ET Based on Clinical and Genetic Markers", BLOOD, vol. 130, 2017, pages 4223, XP086628991, DOI: 10.1182/blood.V130.Suppl_1.4223.4223
See also references of EP 4130715A4
See also references of EP 4130715A4
Attorney, Agent or Firm:
SAEGUSA & PARTNERS (JP)
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