Prior-Fitted Functional Flow: In-Context Generative Models for Pharmacokinetics
Authors: César Ojeda, Niklas Hartung, Wilhelm Huisinga, Tim Jahn, Purity Kamene Kavwele, Marian Klose, Piyush Kumar, Ramsés J. Sánchez, +1 more
Organizations: University of Potsdam, Germany · Technical University Berlin, Germany · Freie Universität Berlin, Germany · University of Bonn, Germany · NHETC, Rutgers University
We introduce Prior-Fitted Functional Flows, a generative foundation model for pharmacokinetics that enables zero-shot population synthesis and individual forecasting without manual parameter tuning. We learn functional vector fields, explicitly conditioned on the sparse, irregular data of an entire study population. This enables the generation of coherent virtual cohorts as well as forecasting of partially observed patient trajectories with calibrated uncertainty. We construct a new open-access literature corpus to inform our priors, and demonstrate state-of-the-art predictive accuracy on extensive real-world datasets.