Skip to main content

Song Ih Ahn

Korea Advanced Institute of Science and Technology · Engineering

About the Lab

Professor Song Ih Ahn's research lab specializes in developing advanced microphysiological systems and nanotechnology platforms to address critical challenges in neurological and cardiovascular diseases. The lab focuses on engineering biomimetic models—particularly the blood-brain barrier and vascular endothelium—using microfluidics, 3D bioprinting, and engineered nanocarriers to enable precise drug delivery and disease modeling. Key research directions include enhancing drug penetration across biological barriers, improving the stability and targeting of therapeutic nanoparticles, and creating standardized, reproducible organ-on-a-chip systems for preclinical drug testing.

organ-on-a-chipnanoparticle deliveryblood-brain barriermicrofluidicsdisease modeling

Research Overview

Papers
36
Total Citations
922
Papers (5y)
13
Primary Field
Engineering

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
13total
2022
2023
2024
2025
2026
Citations per year (5y)
267total
20222023202420252026

Selected Papers

15
1
Article|398 citations·2020
Microengineered human blood–brain barrier platform for understanding nanoparticle transport mechanisms
Song Ih Ahn, Yoshitaka Sei, Hyun‐Ji Park, Jinhwan Kim, Yujung Ryu, Jeongmoon J. Choi, Hak‐Joon Sung, Tobey J. MacDonald, Allan I. Levey, YongTae Kim
SJR Q1Nature CommunicationsOA

Challenges in drug development of neurological diseases remain mainly ascribed to the blood-brain barrier (BBB). Despite the valuable contribution of animal models to drug discovery, it remains difficult to conduct mechanistic studies on the barrier function and interactions with drugs at molecular and cellular levels. Here we present a microphysiological platform that recapitulates the key structure and function of the human BBB and enables 3D mapping of nanoparticle distributions in the vascul

NeurologyNeuroscience
2
Article|138 citations·2022
3D-printed flexible organic light-emitting diode displays
Ruitao Su, Sung Hyun Park, Xia Ouyang, Song Ih Ahn, Michael C. McAlpine
SJR Q1Science AdvancesOA

The ability to fully 3D-print active electronic and optoelectronic devices will enable unique device form factors via strategies untethered from conventional microfabrication facilities. Currently, the performance of 3D-printed optoelectronics can suffer from nonuniformities in the solution-deposited active layers and unstable polymer-metal junctions. Here, we demonstrate a multimodal printing methodology that results in fully 3D-printed flexible organic light-emitting diode displays. The electr

Biomedical EngineeringEngineering
3
Article|75 citations·2019
Nanotherapeutics engineered to cross the blood-brain barrier for advanced drug delivery to the central nervous system
Jinhwan Kim, Song Ih Ahn, YongTae Kim
SJR Q1Journal of Industrial and Engineering ChemistryOA
BiomaterialsMaterials Science
4
Review|70 citations·2023
Design and engineering of organ-on-a-chip
Sujin Cho, Sumi Lee, Song Ih Ahn
SJR Q2Biomedical Engineering LettersOA
Biomedical EngineeringEngineering
5
Article|57 citations·2020
Engineered biomimetic nanoparticle for dual targeting of the cancer stem-like cell population in sonic hedgehog medulloblastoma
Jinhwan Kim, Abhinav Dey, Anshu Malhotra, Jingbo Liu, Song Ih Ahn, Yoshitaka Sei, Anna Marie Kenney, Tobey J. MacDonald, YongTae Kim
SJR Q1Proceedings of the National Academy of SciencesOA

The sonic hedgehog subtype of medulloblastoma (SHH MB) is associated with treatment failure and poor outcome. Current strategies utilizing whole brain radiation therapy result in deleterious off-target effects on the normal developing childhood brain. Most conventional chemotherapies remain limited by ineffective blood-brain barrier (BBB) penetrance. These challenges signify an unmet need for drug carriers that can cross the BBB and deliver drugs to targeted sites with high drug-loading efficien

Molecular BiologyBiochemistry, Genetics and Molecular Biology
6
Article|41 citations·2017
Detection of frequency-dependent endothelial response to oscillatory shear stress using a microfluidic transcellular monitor
Yoshitaka Sei, Song Ih Ahn, Theodore Virtue, Tae‐Young Kim, YongTae Kim
SJR Q1Scientific ReportsOA

The endothelial microenvironment is critical in maintaining the health and function of the intimal layer in vasculature. In the context of cardiovascular disease (CVD), the vascular endothelium is the layer of initiation for the progression of atherosclerosis. While laminar blood flows are known to maintain endothelial homeostasis, disturbed flow conditions including those the endothelium experiences in the carotid artery are responsible for determining the fate of CVD progression. We present a

Molecular BiologyBiochemistry, Genetics and Molecular Biology
7
Article|22 citations·2020
Anti‐Atherogenic Effect of Stem Cell Nanovesicles Targeting Disturbed Flow Sites
Jeong‐Kee Yoon, Dae‐Hyun Kim, Mi‐Lan Kang, Hyeon‐Ki Jang, Hyun‐Ji Park, Jung Bok Lee, Se Won Yi, Hye‐Seon Kim, Sewoom Baek, Dan Bi Park, Jin You, S.R. Lee
SJR Q1SmallOA

Atherosclerosis development leads to irreversible cascades, highlighting the unmet need for improved methods of early diagnosis and prevention. Disturbed flow formation is one of the earliest atherogenic events, resulting in increased endothelial permeability and subsequent monocyte recruitment. Here, a mesenchymal stem cell (MSC)-derived nanovesicle (NV) that can target disturbed flow sites with the peptide GSPREYTSYMPH (PREY) (PMSC-NVs) is presented which is selected through phage display scre

Molecular BiologyBiochemistry, Genetics and Molecular Biology
8
Article|20 citations·2023
Manufactured tissue-to-tissue barrier chip for modeling the human blood–brain barrier and regulation of cellular trafficking
Jaehoon Kim, Taehee Yoon, Paul Kim, Mandakh Bekhbat, So Mang Kang, Hoon Suk Rho, Song Ih Ahn, YongTae Kim
SJR Q1Lab on a Chip

Microphysiological system or organ-on-a-chip technologies can replicate the key structure and function of 3D human tissues with higher reproducibility than less controllable 3D cell aggregate models, providing great potential to become advanced drug toxicity and efficacy test platforms alternative to animal models. However, these organ chip models remain to be manufactured and standardized in a highly reproducible manner for reliable drug screening and mechanism of action research. Herein, we pr

NeurologyNeuroscience
9
Article|16 citations·2014
Regulation of pigmentation by substrate elasticity in normal human melanocytes and melanotic MNT1 human melanoma cells
Hyunjung Choi, Mina Kim, Song Ih Ahn, Eun‐Gyung Cho, Tae Ryong Lee, Jennifer H. Shin
SJR Q1Experimental Dermatology

The elasticity of the cellular microenvironment is a key regulator of cellular physiology in many cell types. To investigate the effects of substrate stiffness on the pigmentation process, we cultured normal human melanocytes (NHM) and MNT1 melanoma cells on laminin-coated polydimethylsiloxane (PDMS) substrates of different stiffness. The dendricity of NHM and MNT1 cells was reduced as the substrate stiffness decreased, and the degree of melanosome transfer from NHM or MNT1 cells to normal human

Cell BiologyBiochemistry, Genetics and Molecular Biology
10
Article|16 citations·2024
Predicting antioxidant activity of compounds based on chemical structure using machine learning methods
Jin‐Woo Jung, Jeon‐Ok Moon, Song Ih Ahn, Haeseung Lee
SJR Q3Korean Journal of Physiology and PharmacologyOA

Oxidative stress is a well-established risk factor for numerous chronic diseases, emphasizing the need for efficient identification of potent antioxidants. Conventional methods for assessing antioxidant properties are often time-consuming and resource-intensive, typically relying on laborious biochemical assays. In this study, we investigated the applicability of machine learning (ML) algorithms for predicting the antioxidant activity of compounds based solely on their molecular structure. We ev

Computational Theory and MathematicsComputer Science
11
Article|15 citations·2021
Human Blood–Brain Barrier on a Chip: Featuring Unique Multicellular Cooperation in Pathophysiology
Song Ih Ahn, YongTae Kim
SJR Q1Trends in biotechnology
Biomedical EngineeringEngineering
12
Article|11 citations·2018
High-density lipoprotein mimetic nanotherapeutics for cardiovascular and neurodegenerative diseases
Song Ih Ahn, Hyun‐Ji Park, Jiwon Yom, Taeyoung Kim, YongTae Kim
SJR Q1Nano Research

High-density lipoprotein (HDL) serves as a natural nanoparticle with compositional and functional heterogeneity and contributes to the maintenance of lipid metabolism and various biological functions. HDL also transports endogenous microRNAs, vitamins, hormones, and proteins through blood and interstitial fluids to various organs. These unique and diverse features of HDL have encouraged its applications for the transport of therapeutics and diagnostic reagents in the last decade. In this review,

Cancer ResearchBiochemistry, Genetics and Molecular Biology
13
Article|11 citations·2020
Engineered Heterochronic Parabiosis in 3D Microphysiological System for Identification of Muscle Rejuvenating Factors
Yunki Lee, Jeongmoon J. Choi, Song Ih Ahn, Nan Hee Lee, Woojin M. Han, Mahir Mohiuddin, Eun Jung Shin, Levi B. Wood, Ki Dong Park, YongTae Kim, Young C. Jang
SJR Q1Advanced Functional MaterialsOA

Abstract Exposure of a young systemic milieu reveals remarkable rejuvenation effects on aged tissues, including skeletal muscle. Although some candidate factors have been reported, the exact underlying mechanisms of putative rejuvenating factors remain elusive, mainly due to the experimental challenges of using in vivo parabiosis. An in vitro parabiosis system is reported here that integrates young‐ and old‐muscle stem cell vascular niche on a 3D microfluidic platform designed to recapitulate ke

Biomedical EngineeringEngineering
14
Book Chapter|9 citations·2018
Organs-on-Chips
Yunki Lee, Song Ih Ahn, YongTae Kim
Elsevier eBooks
Biomedical EngineeringEngineering
15
Article|9 citations·2023
On-chip physiological mimicry of neurovascular unit: challenges and perspectives
Song Ih Ahn, YongTae Kim
SJR Q2Neural Regeneration ResearchOA

School of Mechanical Engineering, Pusan National University, Busan, South Korea (Ahn SI) George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA (Kim Y) Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, USA (Kim Y) Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA (Kim Y) Institute for Electronics and Nanotechnology, Georgia Institute of

Cellular and Molecular NeuroscienceNeuroscience

Research Areas

Biomedical EngineeringNeurologyMolecular BiologyCellular and Molecular NeuroscienceBiomaterialsComputational Theory and Mathematics

Dive deeper into Song Ih Ahn's research on Nubint

Open this lab's papers in the app to read with AI, summarize, and cite in your writing.