Harald Binder

Large language models as synthetic clinical experts to inform longitudinal rare-disease modeling

Large language models are used as synthetic clinical experts to supervise a variational-autoencoder-based approach that learns low-dimensional latent summaries of visit-level observations to make clinical knowledge available to representation learning and improve clinical faithfulness for longitudinal rare-disease data.