Label-free liquid biopsy-based disease model, analytical platform and method for predicting disease prognosis
US12100143B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 13, 2022 |
| Grant date | Sep 24, 2024 |
| Priority date | — |
| Expiry date | May 18, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30096
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.