ARISE Lab

AI-Integrated  Recognition and  Intelligent  Sensing  Engineering

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About

About

9

Years of Research

5

Milestones

2018

Founded

ARISE Lab — AI-Integrated Recognition and Intelligent Sensing Engineering — is part of the KU-KIST Graduate School of Converging Science and Technology. We pursue next-generation biodiagnostic research that fuses artificial intelligence with nanobio technology for early and accurate diagnosis of cancer and infectious diseases. True to our name, our work spans the full diagnostic pipeline: designing electrochemical and optical biosensors (Recognition & Sensing), developing deep learning-based diagnostic algorithms (AI-Integrated), and building IoT-integrated real-time monitoring systems (Engineering). Working in close collaboration with the KIST Biomolecular Recognition Research Center, we are committed to translating laboratory breakthroughs into real-world clinical impact.

account_balance KU-KIST Graduate School of Converging Science and Technologyschool Graduate School of Converging Science and Technology

Research

Research

Intelligent Bio-Monitoring

Intelligent Bio-Monitoring

We build real-time bio-monitoring systems that integrate biosensors with IoT and cloud platforms. Continuous biosignal acquisition combined with AI analysis enables proactive detection and prevention of disease states.

Real-Time MonitoringIoT HealthcareWearable Sensor
Biosensor Technology

Biosensor Technology

We design and fabricate high-sensitivity biosensors based on nanobio technology. Electrochemical and optical signal transduction principles are applied to rapidly and precisely detect target biomarkers from minimal sample volumes.

Nano-BioengineeringElectrochemical SensorOptical Sensor
AI-Based Diagnostics

AI-Based Diagnostics

We develop AI systems using deep learning and machine learning algorithms for early and accurate diagnosis of cancer and infectious diseases. High-sensitivity and high-specificity diagnostic models are built through large-scale biodata analysis.

Deep LearningMachine LearningEarly Cancer Detection

Projects

Projects

진행 중 2023–

Development of IoT-Integrated Real-Time Point-of-Care Infectious Disease Diagnosis System

Develops a portable biosensor platform using smartphones and IoT devices for rapid point-of-care infectious disease diagnosis.

{ "en": "Institute of Information and Communications Technology Planning and Evaluation (IITP)", "ko": "정보통신기획평가원 (IITP)" }

진행 중 2022–

Development and Clinical Validation of AI-Based Multi-Cancer Early Detection Platform

This project develops a next-generation platform for simultaneous early detection of more than 5 cancer types from a single blood drop by integrating nanobio technology with AI.

{ "en": "National Research Foundation of Korea (NRF)", "ko": "한국연구재단 (NRF)" }