Sung-Cheol Kim

Sung-Cheol Kim

Biophysicist, Data Scientist, Computer Vision Researcher - Apply ML to challenging problems with physics knowlege!

Publications

Correlated Drug Action as a Baseline Model for Combination Therapy in Patient Cohorts and Cell Cultures

Published in bioRxiv, 2023

1) CDA is a novel baseline model for studying drug combinations that considers potential correlations between drug efficacies.
2) The model can be applied in both temporal and dose domains to analyze different types of data, such as survival curves or dose-response curves.
3) The authors demonstrate the utility of tCDA at the clinical trial level and dCDA's applicability in experimental data assessment using a new metric, EOCDA.

A mask R-CNN based automatic assessment system for nail psoriasis severity

Published in Computers in Biology and Medicine, 2022

1) Nail psoriasis negatively affects patients' quality of life and requires severity measures for effective treatment.
2) Dermatologists in Taiwan often manage high patient volumes, making complex assessments difficult.
3) A new system using deep learning architecture, mask R-CNN, simplifies and automates nail psoriasis severity assessment, potentially improving diagnosis and treatment decisions.

The Fermi-Dirac distribution provides a calibrated probabilistic output for binary classifiers

Published in Proceedings of the National Academy of Sciences, 2021

1) The proposed method maps the probability of correct classification to the Fermi-Dirac distribution, enabling computation of optimal thresholds and statistical parameters;
2) The relationship between classification probabilities and the Fermi-Dirac distribution allows for calibrated probabilistic outputs in binary classifiers;
3) FiDEL, an ensemble learning algorithm, utilizes this calibration to combine different classifiers effectively.

Advancements in Throughput, Lifetime, Purification, and Workflow for Integrated Nanoscale Deterministic Lateral Displacement

Published in Advanced Materials Technologies, 2021

1) i-nanoDLD technology addresses nanoDLD's previous limitations with high efficiency and performance.
2) The development of an integrated design and increased parallelization results in a higher target colloid concentration and removal of contaminants from samples.
3) Upstream filter bank integration extends operation lifetime and allows for straightforward chip-to-world interfacing, making the technology suitable for research and clinical applications.

Dynamical processes of interstitial diffusion in a two-dimensional colloidal crystal

Published in Proceedings of the National Academy of Sciences, 2020

1) Point defects, such as vacancies and interstitials, play an important role in the thermodynamics of 2D solids.
2) Interstitial diffusion constants are larger than those of vacancies, with diinterstitials being slower than monointerstitials.
3) Equilibrium behavior is observed for mono-interstitials, while local melting is suggested for di-interstitials, opening up opportunities for microscopic studies on the dynamics of melting in colloidal model systems.

Bio-inspired silicon nanospikes fabricated by metal-assisted chemical etching for antibacterial surfaces

Published in Applied Physics Letters, 2017

1) A new, cost-effective and scalable method has been developed for creating antibacterial surfaces using metal-assisted chemical etching on single crystal silicon substrates.
2) The process involves etching in a mixture of silver nitrate and hydrofluoric acid for 6 minutes to create optimal nanospikes with bactericidal properties.
3) The resulting surfaces exhibit strong antimicrobial activity against various bacteria, offering potential applications in antibacterial technologies.

Broken flow symmetry explains the dynamics of small particles in deterministic lateral displacement arrays

Published in Proceedings of the National Academy of Sciences, 2017

1) A unified theoretical framework is introduced to explain the trajectories of different-sized particles in DLD.
2) The framework can be used to design arrays for size fractionation, even at nanoscales.
3) Experimental verification confirms the accuracy of the predictions made by the framework, and a condenser structure with full particle separation is developed using this model.

Geometric dependence of the conductance drop in a nanopore due to a particle

Published in Phys. Rev. E, 2014

1) The effect of a neutral particle on ionic flow through nanopores can be studied using uniform field theory and PNP-NS equations.
2) Pore shape influences current changes due to particles, with both hourglass and cylindrical profiles showing differences.
3) Simple theories may not accurately capture access resistance changes when particles are at the pore entrance, and electro-osmotic flow can be disrupted by large particles.

Sensing of protein molecules through nanopores: a molecular dynamics study

Published in Nanotechnology, 2014

1) Protein translocation through nanopores can be simulated using atomistic molecular dynamics.
2) The change in blockade current and friction coefficient depends on the position of the protein within the pore.
3) The shape of the pore influences the variation in current with position, while confinement affects the friction coefficient of the protein.

Nanosensors for next generation drug screening

Published in In the proceedings of Micro/Nano Materials, Devices, and Systems, 2013

1) The study focuses on evaluating drug screening technologies using protein translocation through nanopores.
2) It uses large-scale, atomistic simulations to compare expected and simulated current drop values.
3) The research is in the context of developing high-throughput, low-cost drug screening devices by combining nanofabrication and microfluidics techniques.

Optical tweezers as a micromechanical tool for studying defects in 2D colloidal crystals

Published in In the proceedings of Optical Trapping and Optical Micromanipulation VIII, 2011

1) Vacancy-interstitial pairs can be long-lived but annihilate each other.
2) Tri-vacancies exhibit fluctuating behavior between bound dislocation pairs and local amorphous states.
3) These observations have implications for understanding the nature of 2D melting.