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The mHealth Lab stands at the forefront of health innovation, moving beyond mere connectivity to deep intelligence and biological insight. 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. Our interdisciplinary team is committed to developing breakthrough technologies that enable truly personalized and preventative medicine.
Our mission is to build an intelligent, connected healthcare ecosystem by converging advanced AI, precision medicine, and cutting-edge sensing technologies. We translate complex biological and clinical data into real-time, actionable health insights.
Machine-intelligent Platforms We develop robust AI systems tailored for biomedical applications, utilizing deep generative models and transformer architectures. By leveraging edge AI and federated learning, we ensure our solutions are privacy-preserving, low-power, and ready for practical field deployment.
Multi-modal Data Fusion Our research integrates diverse data streams—combining mobile signals, medical imaging, and clinical records—through advanced multimodal learning. This fusion enables rapid, intelligent diagnostics and deeply personalized patient monitoring.
Micro/nano-scale Precision We pioneer innovations at the intersection of bio and engineering, from nanofilter-based sample preprocessing and on-site molecular diagnostics to MEMS and SERS/Raman smart sensors. These technologies allow for precise, real-time biosignal interpretation.
Extending these innovations into physical AI for bio-applications, mHealthLAB is driving the next generation of predictive medicine, smart diagnostics, and optimized treatment strategies.
KU-KIST Graduate School of Converging Science and Technology