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Beyond Diagnostics: End-to-End AI for Physical & Physiological Health

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mHealthLAB

고려대학교 mHealthLAB(이정훈 교수 연구실) 방문을 환영합니다.

Our lab pioneers a new paradigm in intelligent healthcare, seamlessly integrating innovative sample pretreatment based on sensor and nano-technology with advanced artificial intelligence (AI) diagnostic algorithms. From smartphone-based point-of-care testing (POCT) and Physiological AI leveraging organoids and bio-signals, to Physical AI integrating advanced instruments like AFM and Raman spectroscopy, we are leading the future of predictive and precision medicine.

Our lab combines nano-bio technology and AI to make fast and accurate on-site medical testing (POCT) possible. Using our special tools, BEETLES² and SaliFilter, we can detect diseases better than ever before. With our AI programs, SMARTAI-LFA and TIMESAVER, anyone can get expert-level test results in just two minutes using an ordinary smartphone.

Now, we are expanding our work. We are developing 'Physical AI' to automatically run lab equipment (like Raman and AFM), and 'Physiological AI' to study human biology using organoids, health signals, and digital aging.

Our main focus areas are Sensors, Diagnostics, and AI Healthcare. Most importantly, we want to create practical technology that actually helps people, rather than just doing research for the sake of it.

https://youtu.be/631hmhbYAAk

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We redefine the 'm' in our name to represent a holistic approach: utilizing Machine-intelligent systems, integrating diverse Multi-modal datasets, and probing biological realities at the Micro/nano-scale.

Research Focus & Mission