The advent of Artificial Intelligence (AI)-driven health and biomedical analytics will give rise to exciting and cutting-edge applications across the health and biomedical domains. These include the discovery and development of powerful diagnostic and treatment methods based on big data and multi-model integration. We expect to also create new data-driven prescriptive interventions based on educative and behavioural modifications to delay chronic disease onset and progression.

The data science research theme is driven by a mission to better our health by dealing with the complexities of data head-on. This is to be achieved by leveraging on our strengths in digital health AI and data-integrative approaches towards achieving three Ps in clinical application (Prediction. Prevention. Personalisation).

On digital health, our goal is to develop digital therapeutics driven by AI to provide objective, precise and remote continuous monitoring as well as digital companions to humanise user care experience to attain greater control over user health. These efforts will evolve the health services and systems towards greater sustainability and value.

On AI and data-driven integrative approaches, the data science research theme, in collaboration with LKCMedicine Good Research Practice Office, seeks to develop efficient, accountable and transparent data management and governance protocols. These in turn, will bring forth parallelisable and dynamic data management frameworks. These frameworks in turn, provide sound infrastructure for performing data integration, and development of trustworthy and powerful AI. Our key challenge is in devising meaningful and practical methods for combining high-variety, multi-class longitudinal data to generate new bio-centric models for tackling clinical heterogeneities, and bringing forth a new wave of personalised models and personalised therapies allowing for predictive and preventive disease management.

The data science research theme also houses the Center for biomedical informatics (CBI), which will support data science training and research collaboration. The CBI will establish deep collaborations and connections with bioinformatics centers worldwide, and with our biomedical and healthcare stakeholders.