📣 We are excited and thrilled to announce APOLLO, a healthcare system-scale multimodal temporal foundation model for virtual patient representations.
Trained on 25 billion clinical events from 7.2 million patients across 33 years and 28 modalities, APOLLO learns a unified atlas of medicine. Turning labs, notes, pathology images, medications, and diagnoses into coherent, computable longitudinal trajectories. APOLLO is disease-agnostic by design, a single model that learns the shared structure underlying human health and disease across every specialty, modality, and stage of care.
The possibilities are enormous: earlier risk prediction, treatment response modeling, clinical trial matching, biomarker discovery, and a new generation of agentic systems built on rich patient representations.
Read the pre-print:
arxiv.org/pdf/2604.18570
Read our blog post about the work:
linkedin.com/pulse/apollo-mu…
👏 🎉Huge congratulations to Andrew Zhang ,
@TongDing99, Sophia J. Wagner, and the rest of the team.