公开(公告)号：US20240355472A1

公开(公告)日：2024-10-24

申请号：US18604287

申请日：2024-03-13

申请人： H42 Inc.

发明人： Wim VAN CRIEKINGE ,  An Nijs ,  Johan Vandersmissen

IPC分类号： G16H50/20 ,  C12Q1/6834 ,  C12Q1/686 ,  G01N21/64 ,  G16B40/30 ,  G16H50/30

CPC分类号： G16H50/20 ,  C12Q1/6834 ,  C12Q1/686 ,  G01N21/6486 ,  G16B40/30 ,  G16H50/30 ,  C12Q2600/154

摘要： A variational autoencoder, comprising an encoder neural network and a decoder neural network, is configured to process a plurality of non-sequence altering change marker inputs, and to encode them in a non-sequence altering change latent space, which comprises respective feature embeddings that compress respective non-sequence altering change marker inputs in the plurality of non-sequence altering change marker inputs into a jointly Gaussian distribution. A method for predictive diagnosis of rheumatoid arthritis (RA) in a patient is also disclosed. Selected marker genes associated with patients having rheumatoid arthritis are formed by methods including deep learning analysis (e.g., via the variational autoencoder). A patient's blood products are assayed to detect the marker genes associated with rheumatoid arthritis. Selected marker genes include RCNA3, HDAC4, and SIPA1. The method may be extended to detect diseases different than or in addition to rheumatoid arthritis.