고려대학교 mHealthLAB(이정훈 교수 연구실) 방문을 환영합니다.
mHealthLAB began with mobile health research. Today, the “m” extends to multimodal, multiscale, and multidisciplinary research. We connect diverse data and measurement methods to study health from molecules to the human body, bringing together biology, engineering, medicine, and AI to develop practical healthcare technologies.
Our research focuses on Sensors, Diagnostics, and AI Healthcare. We combine nano-bio technologies, sample preparation, and AI-based analysis to improve point-of-care testing (POCT). Our platforms include BEETLES² and SaliFilter for sample preparation, and SMARTAI-LFA and TIMESAVER for AI-assisted diagnostic analysis, including smartphone-based testing.
We are also developing Physical AI to automate measurements and analysis with instruments such as atomic force microscopes (AFM) and Raman spectrometers. Our Physiological AI research uses organoids and biosignals to study biological processes, health, and aging.
Across these areas, our goal is to develop reliable, accessible technologies that address practical needs in healthcare.
Our mission is to develop practical healthcare technologies by connecting sensing, diagnostics, and AI. We organize our research around three complementary approaches: multimodal, multiscale, and multidisciplinary.