고지훈 연구실

이 여정을 시작하면서 우리는 혁신적인 연구를 통해 사회에 의미 있고 지속적인 영향을 미치기 위해 노력합니다. We harness machine learning and AI to analyze complex biomedical images, enabling virtual staining, segmentation, and morphological quantification. To make these tools accessible, we are developing a user-friendly graphical interface for seamless and efficient image analysis. This platform enhances biological insight, accelerates discovery, and minimizes reliance on traditional staining methods. We are establishing standardized organ-on-a-chip formats and experimental workflows that are fully compatible with automated liquid-handling and dispensing systems. By defining consistent chip specifications and operating procedures, our platforms can be seamlessly integrated into automated experimental workflows for cell-based assays and drug testing. Vascularization of tumor spheorids or organoids is essential for recapitulating the native tumor microenvironment. It plays a critical role in studying tumor dynamics, drug penetration, resistance mechanisms, and therapeutic efficacy. Our approach focuses on engineering perfusable microvascular networks within 3D tumor models, enabling real-time observation of tumor-vasculature interactions. This platform enables patient-specific testing using patient-derived specimens, serving as an in vitro Avatar model for personalized drug screening. This vascularized skin-on-a-chip model integrates key structural components of human skin, including the epidermis, dermis, and perfusable microvascular networks. Understanding the immune system’s role in cancer progression is highly complex due to dynamic interactions between immune cells, tumor cells, and the vasculature. Using microphysiological systems, we recreate the tumor immune microenvironment in vitro, enabling precise studies