A new framework called GNOVA has been developed to forecast Alzheimer's disease progression using routine patient data, enabling better predictions of cognitive decline without costly imaging techniques. This approach could significantly enhance clinical decision-making in resource-constrained settings by providing accurate disease trajectories and uncertainty estimates.