Abstract
From genome sequencing to single-cell multi-omics profiling, bioinformatic data holds massive promise, calling for data interpretation to facilitate the development of precision medicine with artificial intelligence technologies. Moreover, clinical health records and real-time sensing data from wearable devices could provide deeper insights into construction of multidimensional personalized digital profiles. While precision medicine is an appealing concept, several core challenges still impede translation from bench to the bedside, including heterogeneity challenges across varied data sources, integration challenges facing privacy and permission concerns, and real-world challenges with a wider and more complicated disease range than training sets. In this Collection, we publish original research and contributions across all aspects of artificial intelligence, machine learning, and precision medicine.