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Modern Architecture

The lab website has moved to

​연구실 홈페이지가 mhealthlab.io로 이사했습니다.

Our laboratory is dedicated to researching bio-electronic convergence technology with the goal of making a positive impact on the world. We have a highly skilled team of engineers specializing in electrical engineering (EE), materials science and engineering (MSE), mechanical engineering (ME), and bioengineering. Our research is focused on both hardware, including materials and devices, and software technologies like artificial intelligence (AI).


We are at the forefront of smartphone-based diagnosis research, striving to overcome the limitations of traditional testing methods. In particular, we are conducting point-of-care diagnostics through the development of advanced sensors, as well as utilizing existing smartphone cameras and deep learning for accurate and accessible diagnosis.


Our primary objective is to develop an affordable and user-friendly mobile health with advanced sensor & AI "high sensitivity diagnosis system" that can be utilized in real-world settings. Currently, we are working diligently to create a smart sample preparation and detection system that can rapidly and accurately diagnose infectious diseases such as COVID-19 at the point of care. In addition, we are developing deep learning technology to enable the AI to assist with diagnostics autonomously.

세상을 조금더 이롭게 하는 바이오-전자 융합기술을 연구하고 있습니다. 공동의 목표를 위해 엔지니어들과 바이오공학자들이 함께 일하고 있습니다. 저희 연구실은 소재/소자 등의 하드웨어 연구 및 AI 등의 소프트웨어 기술을 함께 연구하고 있으며, 이를 통해 현장에서 사용가능한 싸고 간편한 "고민감도 진단 시스템"을 구현하는데 그 목표를 두고 있습니다. 

스마트폰 기반 진단 연구를 선도하며 이를 통해 기존 검사 방법의 한계를 극복하기 위해 노력하고 있습니다. 스마트폰에 포함된 카메라 및 각종 센서, 그리고 AI 기술을 활용한 센싱, 진단 뿐만 아니라, 바이오전자 기술, 샘플 전처리기술등을 통해 진정한 현장진단 (POCT)가 가능한 기술을 개발하기 위해 노력하고 있습니다. 

우리의 주요 목표는 실제 환경에서 활용할 수 있는 첨단 센서와 인공지능을 활용한 '고감도 진단 시스템'을 저렴하고 사용자 친화적인 모바일 헬스 제품으로 개발하는 것입니다. 현재 코로나19와 같은 감염병을 진료 현장에서 신속하고 정확하게 진단할 수 있는 스마트 검체 전처리 및 검출 시스템을 만들기 위해 노력하고 있습니다. 또한, 인공지능이 자율적으로 진단을 보조할 수 있도록 딥러닝 기술을 개발하고 있습니다.

Sensor & Sensitivity 

amplifier &


Smartphone &


Delivering Package

To Access the latest news of mHealth Lab, click below box 
모바일헬스 연구실의 최신 뉴스는 아래 클릭하세요~

VR Goggles

To Access the members of mHealth Lab, click below box 
모바일헬스 연구팀 소개는 아래를 클릭하세요~

Modern Architecture

Currently, we are engaged in four distinct research endeavors, each outlined below:

  1. AI-enhanced Mobile Health: Pioneering smartphone-based diagnostic technology integrated with cutting-edge artificial intelligence (AI).

  2. POCT Diagnostics: Innovating a high-sensitivity filtration system employing bio-hybrid materials and nanofluidic functionalities.

  3. Precision Medicine: Crafting tools for personalized medicine targeting CtDNA and exsomes, revolutionizing patient-specific treatments.

  4. Advanced Micro & Nanosensors: Pushing boundaries in sensing technology through the application of micro/nano-scale innovations.


Our team is dedicated to advancing these areas of research and working towards developing new and innovative solutions.

Please click on the images below to connect to videos related to each topic.

현재 저희는 아래에서 설명하는 네 가지 연구를 진행 중입니다:
1.AI로 강화된 모바일 헬스: 최첨단 인공지능(AI)과 통합된 선구적인 스마트폰 기반 진단 기술.
2.현장 진단: 바이오 하이브리드 소재와 나노 유체 기능을 활용한 고감도 필터링 시스템 및 면역/분자진단 전처리 기술
3.정밀 의학: CtDNA와 엑솜을 표적으로 하는 개인 맞춤형 의학을 위한 소자 개발
4.첨단 마이크로 및 나노 센서: 마이크로/나노 스케일의 신소재 및 센싱 기술

우리 팀은 이러한 연구 분야를 발전시키고 새롭고 혁신적인 솔루션을 개발하고자합니다.

​아래 이미지를 클릭하면 관련 동영상으로 연결됩니다. 


AI-assisted Mobile
Health (mHealth)

We are excited to propose a groundbreaking technology that has the potential to significantly improve diagnostic capabilities through the use of AI. Our technology enables field diagnosis using only a smartphone or image analysis, without the need for external devices or equipment.

Currently, we have developed a technology that can provide highly accurate diagnosis results for COVID-19, without the use of an external cradle device. This technology outperforms even expert diagnosis accuracy. In the future, we plan to continue our research efforts to advance the field of healthcare through the development of deep learning, machine learning, and algorithms related to biodiagnosis.



POCT diagnostics

We are dedicated to utilizing bio-hybrid materials, devices, and systems that enable highly efficient separation and concentration of biomolecules. Our current research is focused on developing sample preparation technology capable of providing PCR-level sensitivity for on-site diagnosis. We are also exploring the potential of nanofluidic technology to develop nanoelectrokinetic pre-amplifying technology for these applications.
Our ultimate goal is to create highly efficient and effective diagnostic tools that can enhance healthcare outcomes. Through our research efforts, we strive to advance the field of bioengineering and contribute to the development of cutting-edge technologies that can be used to drive progress and innovation worldwide.

스크린샷 2023-04-14 오전 9.26_edited.jpg


The development of highly sensitive and reliable rapid diagnostic technology is of utmost importance. Our research is currently focused on field-type diagnostic technologies that enable high sensitivity and quantitative analysis.

In addition to our diagnostic technology research, we are also developing systems that can facilitate the implementation of precision medicine. We plan to further our research in the area of diagnostic technologies such as exosomes, by combining our existing materials and AI technologies.

Our goal is to provide innovative solutions that can significantly improve diagnostic capabilities and healthcare outcomes. We believe that by leveraging the latest advancements in technology, we can drive progress and positively impact the lives of people worldwide.

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micro & nano nanosensor 

Our research is focused on engineering using nano/micro technology, similar to the concept of micro-nanomachines moving within the body. Specifically, we are conducting research on high-sensitivity electrical sensors that utilize external FET gates, as well as one-dimensional and two-dimensional micro/nano sensors. We are also investigating the physical phenomena related to nano/micro technologies and exploring nanosensor/process technology utilizing semiconductor technology.

Currently, we are actively researching the application of AI to the electrical and optical signals of nanosensors. Our ultimate goal is to leverage these technologies to develop innovative solutions that can improve healthcare outcomes and benefit society as a whole.


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