Leader: Rosa Liperoti (UNICATT); Contributors: Federica Agosta (UNISR); Licia Iacoviello (NEUROMED); Maria Benedetta Donati (NEUROMED)
WP4 aims at effectively stratifying risks related to multimorbidity, frailty and disability through the use of advanced statistical and AI techniques to:
- stratify the risk of adverse cognitive and functional outcomes;
- unveil the existence of clusters of diseases;
- unveil bidirectional cross-linking between functional dimensions and multimorbidity and their longitudinal trajectories.
Finally, it includes tasks to design and validate assessment tools by integrating biomarkers and other multidimensional factors.
- publication of scientific reports (M12),
- ~4 scientific publications focusing on developing and applying advanced statistical methods to longitudinal data to stratify ageing outcomes and to validate and to integrate multidimensional factors and tools and improve their predictive role (~M30).