Systems and methods for deep orthogonal fusion for multimodal prognostic biomarker discovery
US12361542B2 · kind B2 · utility
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Key dates
| Filing date | Mar 3, 2022 |
| Grant date | Jul 15, 2025 |
| Priority date | — |
| Expiry date | Jun 28, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30096
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method are provided for identifying a multimodal biomarker of a prognostic prediction, using a deep learning framework trained to analyze different modality data, including radiomic image data, pathology image data, and molecular image data to obtain unimodal embedding predictions from those modality data and generate multimodal embedding predictions, through application of a loss minimization and attention-based fusion processes.
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