Title:
CONSTRUCTION OF AND SEARCHING METHOD FOR RAMAN SCATTERING SPECTRUM DATABASE THROUGH MACHINE LEARNING
Document Type and Number:
WIPO Patent Application WO/2022/146103
Kind Code:
A1
Abstract:
In order to accurately predict bio-information such as presence or absence and/or concentration of specific biological materials (e.g., proteins, amino acids, lipids, and nucleic acids), chemical bonds and constituents derived from cells (e.g., bacteria, cancer cells, and normal cells), and/or identification and/or concentration of cells, a bio-information predictive calculation device according to the present invention utilizes, as input information for machine learning algorithm, (a) one or more Raman shift values included in a Raman spectrum list for biological entity-derived samples, (b) a Raman maximum intensity which is the highest value among Raman intensities on the vertical axis in each shift value, and (c) a Raman minimum intensity which is the lowest value among Raman intensities on the vertical axis, and takes advantage of the mechanical learning algorithm to lean character sets of biological entity-derived samples, whereby characteristic information calculation or processing can be achieved to predict information about states of animals or cells from which biological entity-derived samples are extracted, disease diagnosis and/or an assay for efficacy of therapeutic agents, and/or information about bacterial infection of the samples.
Inventors:
LEE DONG-WOO (KR)
Application Number:
PCT/KR2021/020362
Publication Date:
July 07, 2022
Filing Date:
December 31, 2021
Export Citation:
Assignee:
MODERN VALUE INC (KR)
International Classes:
G16C20/70; G01N21/65; G16B40/20; G16C20/20; G16C20/30; G16C20/40; G16C20/90
Domestic Patent References:
| WO2017089427A1 | 2017-06-01 |
Foreign References:
| US7106437B2 | 2006-09-12 | |||
| KR20200139237A | 2020-12-11 |
Other References:
UYSAL CILOGLU FATMA, SARIDAG AYSE MINE, KILIC IBRAHIM HALIL, TOKMAKCI MAHMUT, KAHRAMAN MEHMET, AYDIN OMER: "Identification of methicillin-resistant Staphylococcus aureus bacteria using surface-enhanced Raman spectroscopy and machine learning techniques", ANALYST, ROYAL SOCIETY OF CHEMISTRY, UK, vol. 145, no. 23, 23 November 2020 (2020-11-23), UK , pages 7559 - 7570, XP055949288, ISSN: 0003-2654, DOI: 10.1039/d0an00476f
LUSSIER FéLIX; THIBAULT VINCENT; CHARRON BENJAMIN; WALLACE GREGORY Q.; MASSON JEAN-FRANCOIS: "Deep learning and artificial intelligence methods for Raman and surface-enhanced Raman scattering", TRAC TRENDS IN ANALYTICAL CHEMISTRY, ELSEVIER, AMSTERDAM, NL, vol. 124, 7 January 2020 (2020-01-07), AMSTERDAM, NL , XP086065392, ISSN: 0165-9936, DOI: 10.1016/j.trac.2019.115796
LUSSIER FéLIX; THIBAULT VINCENT; CHARRON BENJAMIN; WALLACE GREGORY Q.; MASSON JEAN-FRANCOIS: "Deep learning and artificial intelligence methods for Raman and surface-enhanced Raman scattering", TRAC TRENDS IN ANALYTICAL CHEMISTRY, ELSEVIER, AMSTERDAM, NL, vol. 124, 7 January 2020 (2020-01-07), AMSTERDAM, NL , XP086065392, ISSN: 0165-9936, DOI: 10.1016/j.trac.2019.115796
Attorney, Agent or Firm:
IPUS PATENT & LAW FIRM (KR)
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