Foreword

On behalf of the Student Organising Committee, it is with great pleasure that we welcome you to the 30th Research Postgraduate Symposium (RPS), our annual flagship event organised by research postgraduates at the Li Ka Shing Faculty of Medicine of The University of Hong Kong since 1996.

As this year marks the 30th RPS, our theme embraces the new era brought by Artificial Intelligence (AI) – ‘Precise Code, Tailored Cure: Towards Predictive, Personalised & Programmable Medicine’. In light of the rapid development of AI, we, as researchers who play a leading role in science, should maximise the full potential of AI applications in our research, while preserving critical thinking and research integrity. The appropriate use of AI could accelerate our research and lead us to unprecedented possibilities. Many researchers do not believe in a one-size-fits-all medicine due to variations at the multi-omics level between individuals; hence, they are looking for a way to make medicine personal. By analysing patterns in large datasets at lightning speed, AI can be a catalytic tool for personalised medicine. We are honoured to have world-leading researchers joining us to share their insights and expertise in this field and to provide invaluable perspectives on their latest findings and future directions.

Beyond the stimulating keynote lectures, the symposium also creates a platform for students to showcase their extraordinary work through Oral and Poster Presentations. We highly encourage participants to engage in open discussions and make the most of this opportunity to elevate their potential. With the privilege of Hong Kong’s geographical location and our faculty’s renowned reputation, we believe that the RPS at the Li Ka Shing Faculty of Medicine is the ideal medium for the brewing of research inspirations and collaborations that unite departments, institutions, and the world. Despite our differences in research fields or even locations, this symposium gathers us for intellectual discussion, exchange of ideas, and the exploration of novel research directions.

We would like to express our utmost gratitude to Professor Judy Yam, Miss Rosalie Loo, and Mr Johnny Zhou for their invaluable guidance and advice along the way. We greatly appreciate their time and efforts in helping to make this symposium a successful one.