Privacy-Preserving Federated Digital Twin Intelligence for Trustworthy Multimodal Disease Prediction Using Explainable Foundation Models
Clinical risk models seldom fail for want of a better algorithm. They fail because the records that would make them dependable sit behind institutional and statutory walls, because a single snapshot cannot describe a physiology that shifts within hours and because a clinician will not act on a number that arrives with...