In recent years, a variety of wearable sensor technologies, such as smart watches/wristbands, smart clothing and activity trackers, have emerged. They aim at continuously monitoring physiological signals, such as heart rate, respiration, glucose, skin conductivity, sleep, temperature, posture, brain activity, movement, oxygen level, muscle activity, blood pressure, eye tracking and ingestion. These continuously monitoring devices, coupling with the fast-growing genomic technologies and integrating with mobile phone, internet and artificial intelligence, give birth to a new medicine paradigm --- the digital medicine paradigm. The digital medicine paradigm empowers data science to a new stage. What is digital medicine? What is digital health? How does the fast development of wearables affect digital medicine? The digital health/medicine generates a huge amount of data. How do we should develop/adopt theories and methods in data science, especially artificial intelligence, for digital health/medicine? In this round-table, we should discuss around these questions with focus on the concept of digital medicine, the comparison of various emerging wearables and related data science.