Title:
DEEP LEARNING AND SELF-ASSEMBLED-MONOLAYER-BASED ALZHEIMER'S DISEASE DIAGNOSIS METHOD, AND SERS SUBSTRATE THEREFOR
Document Type and Number:
WIPO Patent Application WO/2024/071926
Kind Code:
A1
Abstract:
A deep learning and self-assembled-monolayer (SAM)-based Alzheimer's disease diagnosis method, and an SERS substrate therefor are provided. The deep learning and SAM-based Alzheimer's disease diagnosis method performed by means of a computer device, according to one embodiment, may comprise the steps of: using a nano-transfer printing technology so as to continuously stack nanowire layers arranged in parallel, thereby preparing a three-dimensional surface-enhanced Raman scattering (SERS) substrate; forming a SAM on the three-dimensional SERS substrate; and applying a metabolite solution on the three-dimensional SERS substrate having the SAM on a surface thereof, so as to acquire a Raman signal.
Inventors:
JUNG YEONSIK (KR)
KIM MINJOON (KR)
HUH SEJOON (KR)
JO SUNGHO (KR)
PARK HYUNG JOON (KR)
LEE MIN YOUNG (KR)
KIM MINJOON (KR)
HUH SEJOON (KR)
JO SUNGHO (KR)
PARK HYUNG JOON (KR)
LEE MIN YOUNG (KR)
Application Number:
PCT/KR2023/014700
Publication Date:
April 04, 2024
Filing Date:
September 25, 2023
Export Citation:
Assignee:
KOREA ADVANCED INST SCI & TECH (KR)
KOREA INSTITUTE OF MAT SCIENCE (KR)
KOREA INSTITUTE OF MAT SCIENCE (KR)
International Classes:
G16H50/20; B82B1/00; B82B3/00; G01N21/25; G01N21/65; G06N3/08; G16H50/70
Foreign References:
| KR20210137215A | 2021-11-17 | |||
| KR20200139237A | 2020-12-11 | |||
| US20110137062A1 | 2011-06-09 | |||
| KR20170129633A | 2017-11-27 | |||
| KR20190034127A | 2019-04-01 | |||
| KR20170032093A | 2017-03-22 |
Attorney, Agent or Firm:
YANG, Sungbo (KR)
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