Generating Synthetic Multi-national Longitudinal Cohorts for Clinically Grounded HIV Research.

ABSTRACT: High-quality, widely accessible international longitudinal cohort data for people living with HIV (PWH) have long been needed for advancing open science and data-driven innovation, yet stringent and incongruent privacy regulations have made data sharing difficult. Synthetic data generation offers a promising privacy-preserving alternative, but producing realistic synthetic cohorts of PWH remains challenging due to complex temporal dynamics, interdependent clinical variables, long follow-up periods, and high missingness inherent in such data. Here, we introduce Medical Longitudinal latent Diffusion (MeLD), a generative model designed to synthesize variable-length, decades-spanning, mixed-type clinical trajectories with missingness. Using the Caribbean, Central, and South America Network for

SUBMITTER: Liang ZJ 

PROVIDER: S-EPMC12668065 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature