A single model can integrate all types of clinical data (images, text, lab results, medications, procedures) into patient embeddings that enable multiple downstream clinical tasks, suggesting that unified patient representations are feasible and useful at healthcare system scale.
Apollo is a foundation model trained on 30 years of hospital records from 7.2 million patients that learns unified representations of entire patient care journeys across 28 medical data types.