Data Platforms and AI for Digital Health

During the last couple of decades significant progress was made in the applications of Big data, Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) models to the field of Digital Health and biomedical research. In order to develop such methods, comprehensive data sources and data platforms are needed. In addition to the ad-hoc creation of specific methods and algorithms, general methodologies that allows researchers and developers to efficiently create, evaluate and deploy specific methods are required. Many AI, ML or DL-based models were created and applied to biomedical research and healthcare problems, e.g. in finding disease-related biomarkers, medical image analytics, drug discovery, personalized medicine, clinical trials, etc.