Yanan Dai | Physician Behavior | Research Excellence Award

Dr. Yanan Dai | Physician Behavior | Research Excellence Award

Zhongshan Hospital Fudan University | China

Dr. Yanan Dai is a cardiovascular and medical AI researcher whose work integrates quantitative imaging, machine learning, and causal modeling to support clinical decision-making in complex cardiac conditions. Her research develops unsupervised and sequence-based analytic frameworks for coronary angiography interpretation, surgical risk stratification, and prediction of immune-related cardiotoxicity outcomes. She also investigates healthcare system dynamics, patient selection bias, and policy-driven resource allocation using data-driven methods. Complementing these efforts, she advances model-centric approaches to overcome medical data silos and supports technology translation through hybrid computational frameworks. Her professional experience centers on interdisciplinary clinical analytics, AI-enabled diagnostic innovation, and translational health systems research.

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Yun-Hsuan Chang | Clinical Psychology | Research Excellence Award

Prof. Dr. Yun-Hsuan Chang | Clinical Psychology | Research Excellence Award

Institute of Gerontology, National Cheng Kung University | Taiwan

Prof. Dr. Yun-Hsuan Chang is a clinical psychologist and gerontology scholar whose work integrates psychological assessment, cognitive neuropsychology, mood disorders, and behavioral addiction research. Her contributions span brain imaging, resilience mechanisms, personality assessment, geriatric psychology, and the neurocognitive aspects of psychiatric conditions. She has led influential studies on social cognition, stress, inflammatory markers, executive function, and problematic technology use, advancing understanding of psychological resilience across populations. Recognized with multiple academic honors, she collaborates widely across psychology, neuroscience, and mental health disciplines, contributing to both theoretical frameworks and applied clinical practices through research, mentorship, and interdisciplinary engagement.

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