Jinwoo Lee
Seoul National University · 医学
研究室紹介
Professor Jinwoo Lee's research lab specializes in advanced materials and biomedical technologies, with a strong focus on next-generation energy storage systems and intelligent assistive devices. The lab develops innovative 2D materials like MXenes for pseudocapacitive sensing and high-performance all-polymer solar cells using novel polymer acceptors, emphasizing mechanical robustness and sustainability. In parallel, the lab pioneers intelligent exoskeleton systems that integrate deep learning with real-time biosensing to predict and augment human motor intentions, particularly for aging populations. The research bridges nanomaterials science, biophysics, and clinical applications to address challenges in energy, health, and mobility.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Six interfluorophore FRET efficiencies Eij (see scheme) can be determined in real time by a single-molecule four-color FRET technique both in confocal and in total-internal-reflection fluorescence microscopy. This technique was used to probe the correlated motion of the four arms of the Holliday junction, and to assess correlation of RecA-mediated strand exchange events at both ends of a synaptic complex.
Abstract The age and stroke-associated decline in musculoskeletal strength degrades the ability to perform daily human tasks using the upper extremities. Here, we introduce an intelligent upper-limb exoskeleton system that utilizes deep learning to predict human intention for strength augmentation. The embedded soft wearable sensors provide sensory feedback by collecting real-time muscle activities, which are simultaneously computed to determine the user’s intended movement. Cloud-based deep lea
New polymer acceptors (PYSiO- X ( X = 0–30%)) containing siloxane-based flexible spacers (SiO-FSs) are developed. The resulting halogen-free solvent processed all-polymer solar cells show high photovoltaic efficiency and mechanical robustness.
Both levofloxacin and moxifloxacin showed equivalent efficacy for treating MDR-TB.
INTRODUCTION: Metabolic syndrome is known to increase the risk of several cancers. However, the association between lung cancer and metabolic syndrome remains unclear. Thus, we investigated the impact of metabolic syndrome on the incidence of lung cancer. METHODS: This study enrolled participants in a health screening program provided by the Korean National Health Insurance Service between January 2009 and December 2012. The incidence of lung cancer was observed until December 2016. We analyzed
Abstract Extensively explored for their distinctive pseudocapacitance characteristics, MXenes, a distinguished group of 2D materials, have led to remarkable achievements, particularly in the realm of energy storage devices. This work presents an innovative Pseudocapacitive Sensor. The key lies in switching the energy storage kinetics from pseudocapacitor to electrical double layer capacitor by employing the change of local pH (-log[H + ]) in MXene-based flexible supercapacitors during bending. P
An Ag–Au-PANI core–shell network is fabricated for dual functions of visible-to-infrared electrochromic supercapacitor and data encryptable display.
PURPOSE: To assess the impact of rapid muscle loss before admission to intensive care unit (ICU) in critically ill patients with cirrhosis. MATERIALS AND METHODS: Patients with cirrhosis who had undergone 2 or more recent computed tomography scans before admission to the medical ICU were included. Muscle cross-sectional area at the level of the third lumbar vertebra was quantified using OsiriX software. The rate of muscle mass change and skeletal muscle index (SMI) were also calculated. Multivar
BACKGROUND: Perilla (Perilla frutescens) oil is very rich in α-linolenic acid, an omega-3 fatty acid. As it is widely reported that omega-3 fatty acid supplementation improves cognitive function in children and adults, feeding rats with perilla diets followed by analysis of proteomic changes in the hippocampus can provide valuable information on the mechanism of learning and memory at the molecular level. To identify proteins playing roles in learning and memory, differentially expressed protein