Scientists Propose AI Biology to Uncover Fundamental Principles of Life and Disease
In an expert perspective published in Vita, researchers propose AI Biology as an independent discipline that integrates foundation models, simulation, ...
Tag: multi-omics data
Multi-Omics Pattern Recognition Framework Achieves High Tumor Detection Accuracy for Oncological Surgery
Computer scientists have developed an integrated multi-omics machine learning framework that combines pattern recognition, evolutionary mutation modeling, and privacy-preserving encryption ...
Dual-Graph Framework SDCL-AD Achieves High Predictive Accuracy for Alzheimer’s Disease
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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