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From RAGs to riches: Using large language models to write documents for clinical trials
Clinical trials require numerous documents to be written -- protocols, consent forms, clinical study reports and others.
Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary
Deep neural networks (DNN) have an impressive ability to invert very complex models, i. e. to learn the generative parameters from a model's output.
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