The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 24, 2024

Filed:

May. 13, 2022
Applicant:

City University of Hong Kong, Hong Kong, CN;

Inventors:

Bee Luan Khoo, Hong Kong, CN;

Haojun Hua, Hong Kong, CN;

Wei Li, Hong Kong, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06V 20/69 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06V 20/695 (2022.01); G06V 20/698 (2022.01); G06T 2207/10056 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30096 (2013.01);
Abstract

The present disclosure provides a platform and method for predicting disease prognosis based on label-free liquid biopsy, in particular, to establish a disease model in vitro on a microfluidic device and provide a trained deep learning neural network for automatically extracting morphological features from cell clusters formed by the label-free liquid biopsy of a test subject in order to predict different disease stages and evaluate efficacies of a corresponding treatment regime to the test subject. The present disclosure also provides a method for training the neural network based on different cell cluster datasets obtained from the disease model corresponding to different deep learning models of the neural network.


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