Title:
CELL DIFFERENTIATION BASED ON MACHINE LEARNING USING DYNAMIC CELL IMAGES
Document Type and Number:
WIPO Patent Application WO/2023/221951
Kind Code:
A3
Abstract:
The present invention relates to the field of biomedicine, in particular to a cell differentiation method based on machine learning using dynamic cell images, and more particularly to a method and apparatus for obtaining differentiated target cells (such as cardiomyocytes) from starting cells such as pluripotent stem cells (such as induced pluripotent stem cells) under the assistance of machine learning using dynamic cell images.
Inventors:
ZHAO YANG (CN)
ZHANG JUE (CN)
YANG XIAOCHUN (CN)
WANG YAO (CN)
CHEN DAICHAO (CN)
ZHANG JUE (CN)
YANG XIAOCHUN (CN)
WANG YAO (CN)
CHEN DAICHAO (CN)
Application Number:
PCT/CN2023/094381
Publication Date:
January 11, 2024
Filing Date:
May 15, 2023
Export Citation:
Assignee:
UNIV BEIJING (CN)
International Classes:
G06T7/00; G06V20/69
Domestic Patent References:
| WO2021261140A1 | 2021-12-30 | |||
| WO2021094507A1 | 2021-05-20 |
Foreign References:
| US20210325308A1 | 2021-10-21 | |||
| CN111919117A | 2020-11-10 | |||
| CN111666895A | 2020-09-15 | |||
| US20210117729A1 | 2021-04-22 |
Other References:
KEGELES EVGENII, NAUMOV ANTON, KARPULEVICH EVGENY A., VOLCHKOV PAVEL, BARANOV PETR: "Convolutional Neural Networks Can Predict Retinal Differentiation in Retinal Organoids", FRONTIERS IN CELLULAR NEUROSCIENCE, FRONTIERS RESEARCH FOUNDATION, CH, vol. 14, CH , XP093128058, ISSN: 1662-5102, DOI: 10.3389/fncel.2020.00171
Attorney, Agent or Firm:
NTD UNIVATION INTELLECTUAL PROPERTY AGENCY LTD. (CN)
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