-
white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
-
procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop probabilistic digital twins of coronary arteries. The goal is to create patient-specific
-
of coronary artery disease and supporting clinical decision-making during catheterization procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop
-
the brain white matter. The network aims to strengthen the full translational pathway from disease mechanism and model development to preclinical therapy testing, clinical readiness and patient-informed
-
the brain white matter. The network aims to strengthen the full translational pathway from disease mechanism and model development to preclinical therapy testing, clinical readiness and patient-informed
-
white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
-
white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
-
white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
-
white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
-
, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and patient-informed treatment priorities. To achieve this, POLARIS brings together