At present, we are facing an existential global health crisis – the outbreak of novel coronavirus virus (COVID-19). This symposium aims to describe the role of data science and AI that can be applied for digital transformation in tackling major clinical problems and diseases. These digital technologies include the internet of things (IoT) with next generation tele-communication network (5G), big data analytics and AI using deep learning. They are highly inter-related: the proliferation of IoT such as devices, instruments in hospitals and clinics enable the establishment of a highly interconnected digital ecosystem, enabling real time data collection at scale, which could then be utilised by AI and deep learning systems to understand healthcare trends, model risks associations and predict outcomes. This symposium aims to share the principles, concepts and examples of the data science, AI, machine learning, deep learning in tackling various clinical unmet need during the COVID-19 pandemic crisis.