Invention Grant
- Patent Title: Methods and apparatus for making biological predictions using a trained multi-modal statistical model
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Application No.: US16406993Application Date: 2019-05-08
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Publication No.: US11967436B2Publication Date: 2024-04-23
- Inventor: Marylens Hernandez , Umut Eser , Michael Meyer , Henri Lichenstein , Tian Xu , Jonathan M. Rothberg
- Applicant: Quantum-Si Incorporated
- Applicant Address: US CT Guilford
- Assignee: Quantum-Si Incorporated
- Current Assignee: Quantum-Si Incorporated
- Current Assignee Address: US CT Branford
- Agency: Wolf, Greenfield & Sacks, P.C.
- Main IPC: G16H70/40
- IPC: G16H70/40 ; G16H50/20 ; G16H50/50

Abstract:
Methods and apparatus for predicting an association between input data in a first modality and data in a second modality using a statistical model trained to represent interactions between data having a plurality of modalities including the first modality and the second modality, the statistical model comprising a plurality of encoders and decoders, each of which is trained to process data for one of the plurality of modalities, and a joint-modality representation coupling the plurality of encoders and decoders. The method comprises selecting, based on the first modality and the second modality, an encoder/decoder pair or a pair of encoders, from among the plurality of encoders and decoders, and processing the input data with the joint-modality representation and the selected encoder/decoder pair or pair of encoders to predict the association between the input data and the data in the second modality.
Public/Granted literature
- US20200350081A9 METHODS AND APPARATUS FOR MAKING BIOLOGICAL PREDICTIONS USING A TRAINED MULTI-MODAL STATISTICAL MODEL Public/Granted day:2020-11-05
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