MedAI^TM combines learning from data with learning from medical knowledge for rapid innovation in digital and precision health. It uses natural language processing and information retrieval to convert scientific biomedical articles, clinical trials, and systematic reviews into predictive models accessible via an API. By providing informative priors and enabling transfer learning based on worldwide domain knowledge, MedAI^TM reduces bias and improves robustness and trustworthiness of medical AI for big and small datasets. This reduces time to market and improves quality of personalized AI-powered health-related products and services.