Paid courses

Join us for the first fully online Palliative Care Course for the Emergency Department clinicians in Singapore! Specially designed by practicing clinicians from Emergency Medicine and Palliative Care, this course provides busy clinicians with generalist palliative care skills and knowledge to meet the needs of patients with serious life-limiting diseases in the Emergency Department.

Patient-reported outcomes (PROs) are important to clinical trials, health services research, and population health studies. Selecting inappropriate measures or applying weak validation methods can undermine scientific credibility. This intensive one-day workshop provides a structured and practical framework to select, evaluate, score, and interpret PRO measures with methodological rigor

This 1.5-day workshop will equip healthcare professionals (HCP) with the skills to conduct serious illness conversations (SIC) with patients and families. The SIC Program offers HCP a structure and language to talk with seriously ill patients about their values and goals as part of shared decision making.

Join us for the first in Singapore fully online Serious Illness and Palliative Care Education in Surgery (SPLICES) course for healthcare practitioners! Jointly developed by the Lien Centre for Palliative Care, the Surgery Academic Clinical Program, Singhealth and the Division of Surgery and Surgical Oncology, National Cancer Centre Singapore, this interactive asynchronous course aims to equip clinicians with basic palliative knowledge and skills to integrate into their care of seriously ill surgical patients.

This course offers a unique opportunity to gain practical, hands-on experience in building machine learning and deep learning models using real-world biomedical datasets. You’ll learn how to transform complex, high-dimensional data into accurate and interpretable predictive models, equipping you with skills that are increasingly in demand across clinical research, bioinformatics, precision medicine, and translational science. Guided by experienced researchers with expertise in biostatistics, machine learning, and biomedical data analysis, the program ensures you develop both technical proficiency and applied knowledge to thrive in cutting-edge biomedical research.