Supported byy

Organizer & Chair Minjun KWAK (POSTECH, Korea), Yemin JO (POSTECH, Korea)

A paradigm shift is emerging from analyzing biological systems toward designing and reconstructing them, driven by technologies that enable life engineering across molecular, cellular, and tissue levels. In this session, we discuss how advances in these approaches—such as gene editing, cell reprogramming, organoid platforms, biofabrication, and bio-robotics—are facilitating the experimental redesign and construction of biological systems.

Supported by

Organizer & Chair Eun-Seo BAEK (Seoul National University, Korea)

Chair Ja Yil LEE (UNIST, Korea)

Physiological and behavioral data continuously collected from wearable devices in everyday life are becoming an important foundation for AI-based early disease prediction and personalized healthcare. This session highlights recent advances in multimodal AI that integrate such real-world data with omics, metabolic network modeling, biosensing, lifelog data, and clinical records to advance disease prediction and precision medicine. These approaches support digital biomarker discovery, drug-target and response prediction, early cancer detection, and the prediction of metabolic states and disease-associated physiological changes, while expanding the potential of clinically actionable and personalized medical AI. By linking real-world healthcare data with molecular-level insights, this session also reflects how progress in translational medicine is grounded in fundamental research on biological systems and disease mechanisms.

Supported by

Organizer & Chair Hyomin LEE (Oscotec, Korea), Haein CHOI (Oscotec, Korea)

This session focuses on therapy-induced adaptive mechanisms that link tumor evolution and therapy resistance. Moving beyond conventional mutation-targeted therapies, it highlights how genome state changes—such as whole-genome doubling (WGD), replication stress, and associated ploidy alterations—drive cancer evolution under therapeutic pressure. These processes are discussed as key mechanisms promoting tumor survival and adaptation. The session further explores genome state changes as emerging therapeutic targets and their potential to overcome therapy resistance.

Supported by

Organizer & Chair Yulhui SONG (Seoul National University, Korea)

Chair Hanseul YANG (KAIST, Korea)

What is the role of the biologist when AI provides the answers?
Powerful computational tools are rapidly becoming indispensable in the research landscape. This session strongly advocates for their active integration into biological research, while exploring that what AI cannot fill — designing the right questions and validating predictions through experiment — remains the defining role of the wet lab scientist.