{"slug": "duopic-uncertainty-aware-voxel-level-digital-twins-of-cerebral-perfusion-with-in", "title": "DuoPIC: Uncertainty-Aware Voxel-Level Digital Twins of Cerebral Perfusion with Transport PDEs in Acute Stroke", "summary": "Researchers introduced DuoPIC, a digital twin of cerebral perfusion that couples a Windkessel flow model to a tracer transport partial differential equation with a population-level neural closure, requiring no reference maps. The voxel-level maps set state-of-the-art lesion detection on ISLES'17 MR (AUC 0.745) and ISLES'24 CT (AUC 0.743), and on held-out patients the neural PDE cut the compartment's reconstruction error by 19% while lifting 95% MTT interval coverage from 88% to 94%. Code is available at github.com/detinatran/duopic.", "body_md": "arXiv:2610.33071v1 Announce Type: new \nAbstract: Digital twins of cerebral perfusion relate tracer dynamics to cerebral blood flow (CBF), blood volume (CBV) and mean transit time (MTT), but must be data-driven, physically consistent and uncertainty-aware. We introduce DuoPIC, a digital twin that needs no reference maps, in which a Windkessel flow model drives a tracer transport partial differential equation (PDE). A population-level neural closure divides each region into fast and slow pathways with tracer mass and MTT conserved by construction, and a tempered posterior quantifies the uncertainty of every estimate. Its voxel maps set the state of the art for lesion detection on ISLES'17 MR (AUC 0.745) and ISLES'24 CT (0.743). On held-out patients, the neural PDE reduced the compartment's reconstruction error by 19% and lifted 95% MTT interval coverage from 88% to 94%. Code: https://github.com/detinatran/duopic", "url": "https://wpnews.pro/news/duopic-uncertainty-aware-voxel-level-digital-twins-of-cerebral-perfusion-with-in", "canonical_source": "https://arxiv.org/abs/2610.33071", "published_at": "2026-10-27 04:00:00+00:00", "updated_at": "2026-10-27 04:11:47.868842+00:00", "lang": "en", "topics": ["machine-learning", "ai-research", "artificial-intelligence"], "entities": ["DuoPIC", "ISLES'17", "ISLES'24", "Windkessel model", "github.com/detinatran/duopic"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/duopic-uncertainty-aware-voxel-level-digital-twins-of-cerebral-perfusion-with-in", "markdown": "https://wpnews.pro/news/duopic-uncertainty-aware-voxel-level-digital-twins-of-cerebral-perfusion-with-in.md", "text": "https://wpnews.pro/news/duopic-uncertainty-aware-voxel-level-digital-twins-of-cerebral-perfusion-with-in.txt", "jsonld": "https://wpnews.pro/news/duopic-uncertainty-aware-voxel-level-digital-twins-of-cerebral-perfusion-with-in.jsonld"}}