Wastewater-based epidemiology provides a low-cost, scalable view of community infection dynamics, but converting these signals into actionable epidemiological insights remains difficult. Mechanistic models offer interpretability, yet assumptions such as a constant transmission rate limit realism over long simulation ho...
Nina Schmid, Nicole Zacharias, Christoph Höser et al.· npj Digital Public Health· 0 citations
This tutorial review synthesizes recent developments on diffusion models for SBI, covering design choices for training, inference, and evaluation, and highlights opportunities created by various concepts such as guidance, score composition, flow matching, consistency models, and joint modeling.
J. Arruda, Niels Bracher, Ullrich Köthe et al.· arXiv.org· 12 citations
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...
Clemens Schächter, A. Pechmann, Janbernd Kirschner et al.· 0 citations
MEmilio is a modular, high-performance framework for epidemic simulation that harmonizes the specification and execution of diverse dynamic epidemiological models within a unified and harmonized architecture, and aims to lower barriers to reuse and generalize models, enable principled comparisons of implicit assumption...
Julia Bicker, Carlotta Gerstein, David Kerkmann et al.· Scientific Reports· 0 citations
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