AI-based multimodal integration of genomics and electronic health records - Nature Reviews Genetics

This Nature Reviews Genetics content appears to be a scholarly reference list related to “AI-based multimodal integration of genomics and electronic health records.” The excerpt primarily consists of citations to previous work spanning drug normalization resources like RxNorm, clinical data modeling, and federated learning frameworks used to train machine-learning systems across distributed healthcare datasets. It references tools and approaches such as PLINK, Fed-BioMed, and Flower, as well as deep learning models and attention-based prediction methods (including RETAIN). The bibliography also includes biomedical NLP techniques, including BioBERT-style named entity recognition and MetaMap for mapping text to the UMLS Metathesaurus.