Computer scientists have developed an integrated multi-omics machine learning framework that combines pattern recognition, evolutionary mutation modeling, and privacy-preserving encryption ...
Researchers developed SDCL-AD, a structure-aware dual-graph contrastive learning framework that integrates proteomic and transcriptomic data to predict Alzheimer's disease.
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