MIRA

MIRA is a foundation model for medical time-series, designed to learn a unified representation space across heterogeneous clinical datasets and support zero-shot forecasting in real-world healthcare settings. Unlike conventional time-series models that operate on fixed sampling rates or task-specific feature spaces, MIRA is built to handle irregular and clinically diverse signals natively. By combining continuous-time encoding, frequency-aware specialization, and neural dynamics modeling, MIRA generalizes robustly across conditions.