Patents
US 12555224 B2: Method and system for performing non-invasive genetic testing using an artificial intelligence (AI) model
- Granted
- 2026-02-17
- Filed
- 2020-09-25 application 17763401
- Type
- Utility · 19 claims
- Elsewhere
- Google Patents ↗ · USPTO patent document ↗ · USPTO Patent Center record ↗
Abstract
An Artificial Intelligence (AI) based computational system is used to non-invasively estimate the presence of a range of aneuploidies and mosaicism in an image of embryo prior to implantation. Aneuploidies and mosaicism with similar risks of adverse outcomes are grouped and training images are labelled with their group. Separate AI models are trained for each group using the same training dataset and the separate models are then combined, such as by using an Ensemble or Distillation approach to develop a model that can identify a wide range of aneuploidy and mosaicism risks. The AI model for a group is generated by training multiple models including binary models, hierarchical layered models and a multi-class model. In particular the hierarchical layered models are generated by assigning quality labels to images. At each layer the training set is partitioned in the best quality images and other images. The model at that layer is trained on the best quality images, and the other images are passed down to the next layer and the process repeated (so the remaining images are separated into next best quality images and other images). The final model can then be used to non-invasively identify aneuploidy and mosaicism and associated risk of adverse outcomes from an image of an embryo prior to implantation.
Source: PTBLXML, file of 2026-02-17 (ipgb20260217.xml).
Assignees
| Assignee | Type | Place | Also on furp.org | Source |
|---|---|---|---|---|
| ASTEC CO., Ltd. 27 patents | Foreign company or organization | Fukuoka, JP | PTBLXML, file of 2026-02-17 |
Inventors
| Inventor | Place | Patents | Person page | Source |
|---|---|---|---|---|
| Jonathan Michael MacGillivray Hall | Adelaide, AU | 2 | PTBLXML, file of 2026-02-17 | |
| Donato Perugini | Adelaide, AU | 2 | PTBLXML, file of 2026-02-17 | |
| Michelle Perugini | Adelaide, AU | 2 | PTBLXML, file of 2026-02-17 | |
| Tuc Van Nguyen | Adelaide, AU | PTBLXML, file of 2026-02-17 | ||
| Sonya Maree Diakiw | Adelaide, AU | PTBLXML, file of 2026-02-17 |
CPC categories
| Subclass | Category | First group | Source |
|---|---|---|---|
| G06T | Image data processing or generation, in general | G06T7/0012 | PTBLXML, file of 2026-02-17 |
| G06V | Image or video recognition or understanding | G06V20/69 | PTBLXML, file of 2026-02-17 |
| G16H | Healthcare informatics, i.e. information and communication technology [ict] specially adapted for the handling or processing of medical or healthcare data | G16H30/40 | PTBLXML, file of 2026-02-17 |
Cooperative Patent Classification, as currently assigned (one row per subclass).
Assignments and security interests
No recorded assignments or security interests on file for this patent.
USPTO bulk data: PatentsView granted patents, disambiguated (PVGPATDIS) for patents, assignees, inventors, places and CPC categories; the USPTO Patent Assignment Dataset (ECORSEXC) for assignments and security interests. Patents filed in the last 20 years. No claims or full text. Links to other records are by name (and state): EXACT means the identical full name and state; FUZZY means a looser name match, with the confidence shown.