Programme - Oral Sessions

Life Sciences & Health
Life Sciences and Health groups aim to bring together Korean and European scientists working in various fields of Life Sciences and Heath-related research, encourage communication, and strengthen the global networks. We also encourage establishing the global networks and developing joint research projects between Korea and Europe. To further maximize such opportunities, we organize two sessions jointly with ITM (Information technology & machine learning), as we believe life science and health care data are one of the key applications in ITM field. The sessions will be organized in different categories as listed below: 22nd Aug - Cancer Genomics - Metabolism in disease and therapy - Imaging Science in Deep Learning: Innovative Applications and Methodologies (joint session with ITM) 23rd Aug - Cellular Recognition and BioNano Interfaces - How to prevent emerging infectious disease outbreaks
[LSH1] Cancer Genomics
Date / Time 2018-08-22 11:00   --   12:40
Room A1
Conveners / Chairs
  • DR. KIM, Yongsoo (The Netherlands Cancer Institute) CHAIR
One of the most emerging field in the era of 4th industrial revolution is precision medicine. The precision medicine boils down to selecting right treatment for right patients at the right time. To achieve this, people believe that genomics data can serve as the evidence for choice. Since the cancer is one of the major killers that accompanied with genomic alterations, it is the most relevant disease for taking a genome-based approach for both stratifying patients and identifying effective treatments.
  • PROF. BIANKIN, Andrew (University of Glasgow) [ 11:00 - 11:40 ]
    Title: Precision oncology drug development
  • DR. BHIN, Jinhyuk (Netherlands Cancer Institue) [ 11:40 - 12:05 ]
    Title: Proteogenomic analysis of PARPi-resistant BRCA1-deficient tumors
  • DR. JEONG, Hyobin (EMBL, Heidelberg) [ 12:05 - 12:30 ]
    Title: Deciphering the role of genetic structural variation on the gene regulation and disease
  • DR. MIN, Cheolki (Macrogen Europe) [ 12:30 - 12:40 ]
    Title: Current NGS technology and platforms
[LSH2] Metabolism in Disease and Therapy: A Frontier Rediscovered
Date / Time 2018-08-22 13:30   --   15:10
Room A1
Conveners / Chairs
  • PROF. MOK, K. Hun (Associate Professor of Biochemistry, Trinity College Dublin) CONVENER
Obesity….. Type II diabetes …. Cardiovascular diseases ….. Cancer…… and Neurodegeneration. Add to this the mystery of the gut microbiome and even the complexity of inflammation. What do they all have in common? These are all correlated with (if not caused by, or conversely directly impact) metabolic control deficiencies. In other words, the core fundamental biochemistry of an organism, the basic (and boring) glycolysis and Krebs’ cycle pathways that we had to know by heart in our university days, has returned as a serious (and sometimes determinant) factor for many of the modern diseases that are threatening the well-being of humans. Why is this? Genetic strategies (genomics, transcriptomics, proteomics, etc) are a promising start towards solving the healthcare problem, however there is more to an individual’s state of health than just one’s genes. Interactions between the gene and the environment as observed in the metabolic phenotype can be as important and influential as well. Metabolism is also strongly affected by the administered drugs themselves. Such an ‘alternative route’ for obtaining information on the individual clearly begs for further inquiry and the development for new techniques. In this session, we seek to rediscover this frontier through four illuminating talks by experts in this field.
  • PROF. GOTTLIEB, Eyal (Technion - Israel Inst of Technology | Cancer Research UK Beatson Institute | Univ of Glasgow) [ 13:30 - 14:10 ]
    Title: Targeting metabolic vulnerabilities of cancer
  • DR. WATSON, David (University of Strathclyde, Strathclyde Institute of Pharmacy and Biomedical Sciences) [ 14:10 - 14:40 ]
    Title: The Potential Role of Bee Products in Human Health: A Metabolomics Approach
  • PROF. KIM, Nayoung (Seoul National University Bundang Hospital) [ 14:40 - 14:55 ]
    Title: The effect of aging and sex on high-fat diet-induced alterations in gut microbiota and colon mucosa of rats
  • DR. LEE, Mi-young (Unilever) [ 14:55 - 15:10 ]
    Title: Understanding biotransformation of slowly cleared chemicals in co-cultured in vitro models, 3D liver Spheroid and HepatoPac.
[ITML3 / LSH3] Image detection, analysis, and processing: Innovative Applications and Methodologies
Date / Time 2018-08-22 16:00   --   19:40
Room A1
Conveners / Chairs
  • DR. SONG, Jae Hee (University of Glasgow, UK) COCONVENER
The multi-disciplinary session is a discourse on the current theories, methodologies, and applications of image and signal processing. Specifically, two themes are covered : "Deep Learning for Image Processing : Denoising, Deblurring, and Segmentation” (Theme 1) and "ICT Technologies for Emerging Biomedical Applications"(Theme 2). All who are interested in contributing to either theme are welcome to join. [Theme 1] This session is covered with the mathematical modeling in image processing. Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. It is a type of signal processing in which input is an image and output may be image or characteristics associated with that image. Nowadays, image processing is among rapidly growing technologies. It forms core research area within engineering, computer science and applied mathematics. In this session, we will focus on the variational models and numerical methods for various image processing problems. We also investigate deep learning frameworks for image processing. In this session, we focus on the following image processing problems. 1. Image denoising: In many real applications, images unavoidably suffer from noise that occurs during the image-acquisition process. Thus, image denoising is essential in image processing, and it aims to remove noise while simultaneously preserving edges and fine details. 2. Image deblurring: In many applications, images corrupted by a blur and noises due to object movements, hand shaking and out of focus etc. Hence, its goal is to remove blurring and noise while conserving small features and textural patterns. 3. Image segmentation: Image segmentation is a fundamental imaging problem. Its aim is to partition an image into several regions such that the image within each region has uniform characteristics, i.e., edges, intensities, color, and so on. We introduce mathematical modeling based on following approaches. 1. Modeling on variational approaches: To solve image processing problems, we often develop a minimization models based on variational approaches. Variational models have an objective function consisting of a data fidelity term and regularization term. We introduce a novel regularization term or a data fidelity term for each image processing problem. 2. Deep learning: Deep learning is part of machine learning methods based on learning data representations, as opposed to task-specific algorithms. It is very recent method, and gives remarkable results for image processing problems. [Theme 2] ICT and nanotechnology are now extending its contribution to the life sciences and biomedical applications. New concepts and services (e.g., point-of-care, patient-centered care, ubiquitous healthcare monitoring) have been initiated through smart sensors, wearable devices, and novel communication systems. The concept has made (and will make) a significant contribution to improving accuracy, and efficiency in diagnosis and treatment. In this session, experts with various backgrounds are welcomed to share their experience about how they addressed recent issues in biomedical applications.
  • PROF. KANG, Myungjoo (Seoul National University) [ 16:00 - 16:40 ]
    Title: Deep learning and mathematical approach for defect inspection
  • PROF. COCHRAN, Sandy (University of Glasgow) [ 16:40 - 17:20 ]
    Title: Sonopill: the future of capsule ultrasound
  • DR. LEE, Myung-jae (École Polytechnique Fédérale de Lausanne (EPFL)) [ 17:20 - 17:40 ]
    Title: Single-photon detectors for next-generation biomedical applications
  • DR. KANG, Myeongmin (Seoul national university) [ 18:00 - 18:20 ]
    Title: Hybrid total variation based model for image denoising with spatially adaptive parameter selection
  • PROF. KIM, Yunho (Ulsan National Institute of Science and Technology) [ 18:20 - 18:40 ]
    Title: Operator norm minimization for conformational changes in protein structures
  • PROF. JUNG, Miyoun (Hankuk University of Foreign Studies) [ 18:40 - 19:00 ]
    Title: Image segmentation models based on L1 data-fidelity measure
  • MR. JIANG, Hui (Delft University of Technology) [ 19:00 - 19:20 ]
    Title: Energy-efficient bridge-to-digital converters
  • MR. KANG, Eunchul (TU Delft) [ 19:20 - 19:40 ]
    Title: Integrated circuits for 3-D medical ultrasound imaging
[LSH4] Cellular Recognition and BioNano Interfaces
Date / Time 2018-08-23 11:00   --   12:40
Room A1
Conveners / Chairs
  • DR. KANG, Kyongok (Scientific Researcher, at the Forschungszentrum Jülich GmbH, Institute of Complex Systems) CHAIR
  • PROF. PARK, Wook (Department of Electronics engineering. Kyung Hee University, Korea) COCONVENER
The topics in this session are related to cell-recognition, engineering of bio-nano interfaces, and nano-particle membrane interactions. The former involves processes giving rise to specific cell-responses and cell-cell interactions, while the latter can be used to develop cell-responsive systems using tools from nanotechnology. Coating and tagging of cell membranes can be employed to induce adhesive interactions between two cells or cells and a solid substrate, or to convey information for cell-cell recognition. Targeted modification of cell membranes to gain insight in the molecular processes involved in cell-recognition and cell-cell interactions is a rapidly developing field of research. Closely related to this topic of research is the engineering of interfacial nanostructured materials. These biomimetic systems can be used as interfaces for fundamental studies of cell-recognition and cell-cell interactions, with possible applications in tissue engineering and the development of new medicine. The interactions between nano-particles and the cell membrane often play an important role in cell-recognition and cell-cell interactions. Nano-particle/membrane combinations are also used as biomimetic systems to study endo- and exocytosis mechanisms. Such nano-particles include bio-macromolecules such as proteins, lipids, DNA, but also synthetic particles like metallic nano-particles.
  • PROF. MARQUES, Carlos (Centre National de la Recherche Scientifique) [ 11:00 - 11:25 ]
    Title: Sliding Tethered Ligands: lock and key interactions with a topological twist
  • PROF. PARK, Wook (Kyung Hee University) [ 11:25 - 11:45 ]
    Title: Microparticles as a new platform of cell based assays
  • PROF. LAGERWALL, Jan (University of Luxembourg) [ 11:45 - 12:05 ]
    Title: Towards cellulose nanocrystal films with controlled selective reflection
  • DR. CHOI, Chang-hoon (Forschungszentrum Juelich) [ 12:05 - 12:25 ]
    Title: A study of in vivo rat brain tumour model using a flexible multinuclear MR-PET system
  • MR. LEE, Jongmuk (SOL Inc.) [ 12:25 - 12:40 ]
    Title: Direct contact imaging device for Live cell monitoring & IVD
[LSH5] How to prevent emerging infectious disease outbreaks
Date / Time 2018-08-23 13:30   --   15:10
Room A1
Conveners / Chairs
  • DR. CHOI, Yoon Hong (Senior Scientist/Mathematical Modeller at Public Health England) CHAIR
Many infectious disease outbreaks have emerged recently such as Ebola, Zika, and Middle East Respiratory Syndrome – Corona virus (MERS-CoV) in many parts of the world. It is, however, very difficult to predict when such microbial pathogens to emerge in local areas. For example, South Korea has suffered enormous damage to national health and economy due to the 2015 MERS-CoV outbreak which was known to be only endemic in Middle East Asian countries. Many countries keep developing several methods to monitor potential introduction of such emerging pathogens into their countries, to develop mathematical models to predict real-time spread of emerging infectious diseases to find the best control measures to bring to ends of outbreaks. To this end, this session is dedicated to interdisciplinary studies to develop national guidelines to monitor introduction of emerging pathogens into their countries, and mathematical models to monitor the spread of outbreaks and to measure the impact of potential control measures.
  • DR. CHARLETT, Andre (Public Health England) [ 13:31 - 14:00 ]
    Title: Detecting emerging infectious diseases and outbreaks by the application of statistical algorithms to surveillance data
  • DR. AHN, Insung (Korea Institute of Science and Technology Information) [ 14:01 - 14:30 ]
    Title: A Study on Early Detection of Diseases Using Machine Learning
  • DR. ZHANG, Xu-sheng (PHE) [ 14:31 - 14:50 ]
    Title: Estimating and modelling the transmissibility of Middle East Respiratory Syndrome CoronaVirus during the 2015 outbreak in the Republic of Korea
  • MISS. GWON, Jihee (Muthesius University of Fine Arts and Design) [ 14:51 - 15:00 ]
    Title: Healthcare Infographic
  • DR. CHOI, Yoon Hong [ 15:00 - 15:10 ]
    Title: Discussion