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https://pubmed.ncbi.nlm.nih.gov/38095107
The use of genomics and machine learning to identify novel therapeutic targets and causal genes for aortic disease is being accelerated by deep learning technologies and can be translated to biological insights through locus and cell type prioritization, high-throughput functional screening, and disease modeling using cellular and animal models.