Publication in the International Young Researchers Conference (IYRC) Journal

A Machine Learning Approach to Keratin Filament Imaging: Enhancing Risk Stratification for Skin Cancer Metastasis

As a leader and first author, I co-developed an AI-based method to analyze keratin intermediate filaments in keratinocytes as biomarkers of skin cancer metastasis. Using a convolutional neural network built through Google Teachable Machine, our model achieved 85% accuracy in distinguishing between high- and low-risk metastatic cells. I contributed to experimental design, immunofluorescent imaging, and model development, helping to establish a non-invasive approach with potential clinical applications.

Contribution to Professor-Led Research

Utilization of Organoid Cultures in Gastric Metaplasia Study

In this study led by Professor Kim and Professor Jang, I contributed by culturing and maintaining gastric organoids over several months. These organoids were later used to characterize subtypes of intestinal metaplasia: complete, incomplete, and undetermined. The models enabled the team to show how incomplete intestinal metaplasia exhibits a hybrid phenotype, reflecting both gastric and intestinal features, and to investigate its epigenetic instability and potential progression toward gastric cancer.