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This operational simplicity, in turn, fosters superior clinical integration, as millifluidic devices interface more seamlessly with established workflows such as automated liquid handlers, lowering the barrier to adoption in pharmaceutical screening

In particular, our study is the first to directly compare ClinicalBERT embeddings with traditional encoding methods (OHE and W2V) in the context of cardiovascular event prediction, thereby demonstrating the advantages of domain-specific embeddings in enhancing the accuracy and utility of clinical predictive models

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