This Special Guideline Session presents precision approaches to metabolic care across the Asian life course. Prof. Seung Min Jung will delineate age- and sex-specific metabolic risk trajectories and the latent burden across lifespan. Prof. Megu Baden will examine environmental drivers shaping Asian-specific metabolic vulnerability. Prof. Amutha Ramadas will discuss targeted intervention strategies for high-risk sub-populations at critical stages. Together, the talks integrate epidemiologic and guideline perspectives for life-course metabolic risk reduction.

This special session focuses on practical ways to use generative AI as a tool to enhance research productivity and efficiency. Through real-world examples, it explores how generative AI can be applied across the entire research process, from literature search and organization to idea structuring, data interpretation, and manuscript drafting and revision. Key technical elements such as prompt design, output verification, and iterative refinement are introduced to help researchers use AI more effectively as a supportive research tool. The session also addresses common limitations and potential pitfalls of generative AI, offering practical perspectives on how to manage them in everyday research practice. The third presentation provides helpful guidance for clinicians and basic researchers on integrating generative AI naturally and responsibly into research and academic writing.

SICEM 2026 is hosting a 'Year in Review' session that spotlights the latest research and treatments in diabetes, thyroid, and bone metabolism. Renowned experts including Prof. Young Min Cho from Seoul National University, Prof. Bo Hyun Kim from Pusan National University, and Prof. Sang Wan Kim from Seoul National University will lead the session. This session offers a valuable opportunity for healthcare professionals, researchers, and students in endocrinology and metabolism to stay updated and engage with leading experts in the field.