112 citations · 226 across the 23 of their papers we have counts for
31 papers
Conditional Mean Flows: Few-Step Densities for Simulation-Based Inference
Jonas Arruda, Jan Hasenauer, Stefan T. Radev
Flow matching has emerged as a powerful generative family for simulation-based inference (SBI). However, sampling and density evaluation require numerical integration at inference…
PEtab SciML: an exchange format for specifying and training dynamic scientific machine learning models
Sebastian Persson, Branwen Snelling, Maren Philipps +5
Summary: Dynamic scientific machine learning (SciML) models that combine mechanistic ordinary differential equations (ODEs) with machine learning (ML) components have applications…
Large language models as synthetic clinical experts to inform longitudinal rare-disease modeling
Clemens Schächter, Astrid Pechmann, Janbernd Kirschner +2
Due to the limited amount of information, modeling longitudinal rare-disease data can benefit from integrating clinical knowledge. Yet, elicitation of expert knowledge and formaliz…
NoLimits.jl: Flexible and Composable Nonlinear Mixed-Effects Modeling in Julia
Manuel Huth, Jonas Arruda, Nina Schmid +4
Nonlinear mixed-effects models are widely used to analyze longitudinal data, but existing open-source software often supports only a limited subset of the model structures, inferen…
Typical Healthcare Pathways as a Basis for Admixture Modeling of Patient Trajectories
Maryam Farhadizadeh, Carola S. Heinzel, August Sigle +5
Background: Understanding whether patients follow similar or distinct patterns of care is important for characterizing clinical practice, identifying patient subgroups, and support…
Balancing label resolution and computational cost in dynamical models of lipid metabolism
Paul Jonas Jost, Christoph Thiele, Jan Hasenauer
Lipid metabolism is a central biological process that is commonly studied using destructive mass-spectrometry experiments. A recently proposed strategy, uses multiple labels to ext…