Convergence Newsletter, published by the Graduate School of Convergence Science and Technology, Seoul National University, featured two congratulatory events from CCADD.

The first news article introduced Medicall, an AI-based emergency medical solution developed by Chaeyoung Chang, an undergraduate researcher at CCADD. Chaeyoung received the Most Societal Impact Award, one of the Top 3 honors at the 2025 Asia-Pacific Google Solution Challenge, co-hosted by the Asian Development Bank (ADB) and Google, which is a global competition that brings together student developers from Google Developer Groups on Campus to design AI based projects that contribute to the United Nations Sustainable Development Goals (UN SDGs). As a member of Team Atempo, Chaeyoung developed Medicall, an emergency medical service that helps paramedics quickly locate hospitals with available beds during patient transport.

Using Google’s Gemini, Medicall analyzes a patient’s condition and location in real time and recommends the most suitable emergency department within one minute. This enables patients to receive timely treatment within the critical golden hour, improving survival rates and enhancing the efficiency of emergency care systems. The project was praised for its creativity and practical impact, demonstrating how artificial intelligence can be applied to address real healthcare challenges. It was later featured in a news article introducing Medicall as an innovative AI solution to the emergency room crisis in Korea.

The second news article shared Chaeyoung’s experience during the 2025 Summer Convergence Research Program at CCADD, where she took part in two projects that used artificial intelligence to improve the efficiency of drug development. In the first project, she studied how GLP-1 receptor agonists (GLP-1RA) can help prevent nonalcoholic fatty liver disease (NAFLD) in patients with type 2 diabetes by analyzing real-world clinical data. In the second, she worked on developing a machine translation model for regulatory s in the pharmaceutical and medical device fields.

Through these projects, Chaeyoung gained practical experience in data analysis and AI model development. Reflecting on her internship, she said that the structured lectures, mentorship, and book reading sessions on Python and large language models helped her build a strong foundation in AI and strengthened her motivation to pursue graduate research in this field. She expressed her gratitude to the Graduate School of Convergence Science and Technology and to all CCADD members for their guidance and support throughout the program.