• PreMED '19

    Getting connected: Systems medicine and networks to Precision Network Medicine in the era of big data!

    October 31th, 2019

  • ICSB Conference 2019

    November 1-5, 2019

    Okinawa, Japan

  • Room #1, The Okinawa Institute of Science and Technology

    Graduate University

    Okinawa, Japan


Precision Network Medicine in the era of big data (PreMED '19)

Okinawa, Japan

Getting connected: Systems medicine and networks to Precision Network Medicine in the era of big data!


The Vision

Network science is having a substantial impact in various aspects of health-related research. Recently, the advent of more comprehensive personalized data has fostered the emergence of precision medicine; an approach that considers individual genetic and physiological characteristics, lifestyle and environment in devising personalized therapies. Such an approach benefits greatly from big data and network approaches at multiple levels. First, integrating different molecular “interactomic” datasets from a single patient, from subcellular to organ-level, is a fundamental step towards understanding the mechanistic underpinnings of personalized health states. Moreover, there has been a continued improvement in the availability of health-related data, such as electronic health records detailing patient histories and providing accurate diseases statistics. This has given rise to a new need for big data approaches at the disease level to identify patterns of disease co-occurrences, allowing to optimize resources in prevention and treatment of various kinds of pathologies. The symposium will bring together these two themes of precision medicine and big data analysis at multiple levels of resolution, showcasing advances in the use of molecular networks for patient data integration as well as new approaches to disease network reconstruction and modeling.

The People

This satellite symposium, hosted by ICSB and located at the Okinawa Institute of Science and Technology, is organized by Amitabh Sharma from the Channing Division of Network Medicine at Harvard Medical School, Jose Nacher from the Faculty of Science at Toho University, Kwanh-Il Goh from the Department of Physics at Korea University and Vera Pancaldi from the Centre for Cancer Research of Toulouse and Barcelona Supercomputing Center. It will bring together scientists, researchers, and students from multi-disciplinary fields like network science, clinical science, systems biology and genomics.

The Research

The biomedical data yearns, including a panoply of molecular entities, mobile health devices, electronic health records, consortium level multi-omic data, for concerted efforts from data scientists to uncover novel patterns and signatures to provide a better understanding of disease necessary for the translational purpose. The mission of the workshop is to bring together scientists, researchers and students from multi-disciplinary fields like network science, clinical science, systems biology and computational biology. The meeting will be open for four contributed talks from the submissions, thus giving a chance to young researchers. This workshop will add a new dimension to the emerging field of network medicine, namely the improvement of precision medicine leveraging networks at all scales: from subcellular to organ-level, to comorbidities and hospital networks.

Speakers for PreMED19



Session : 9:00 - 17:35

Coffee Break and Luncheon

Opening Remarks

Y.-h. Taguchi, Chuo University, Japan


Title: Tensor decomposition based unsupervised feature extraction applied to bioinformatics

Simone Ecker, University College London, UK


Title: Unraveling Epigenetic and Transcriptional Variability of Human Immune Cells in Health and Disease

Contributed talks (session I) - Sathish Periyasamy, Queenslands Brain Institute, Australia


Title: A novel approach for the generation of disease specific genetic interaction data using gene-based statistical epistasis

Coffee Break

Tatsuya Akutsu, Bioinformatics Center, Kyoto University, Japan

Title: Boolean Network-Based Approaches towards Precisions Medicine

Hyun Uk Kim, KAIST, South Korea


Title: Systems biology approaches to characterize pharmacological effects of drugs

Jose Nacher, Toho University, Japan


Title: Controllability Methods and Convolutional Neural Network Approach for Precision Network Medicine

Gökhan Ertaylan, VITO, Belgium

Title: What do we really mean by Health? On the way towards Precision Health


Amitabh Sharma, Harvard Medical School, USA

Title: Network Medicine: A new frontier in the study of human diseases and drug development

Andrei Zynoviev, Inst. Curie, France

Title: Intratumoral heterogeneity at single cell level

Bulat Zagidullin, University of Helsinky

DrugComb - prediction of synergistic cancer drug combinations.

Coffee Break

Vera Pancaldi, Center for Cancer Research of Toulouse (CRCT) and Barcelona Supercomputing Center

Title: An agent-based model of immune and cancer cell interactions in the tumour micro-environment

Mohammad Elati, University of Lille, France

Title: Cell-intrinsic core-regulatory circuits driving tumor-related phenotypes with the I3-OncoNet cycle

Deok-Sun Lee, Inha University, South Korea

Title: Cross-species study of the robustness and evolution of metabolic networks

Closing Remarks

Session Ends

Registration and Submission

  • Registration

    Deadline: September 31, 2019 6:00 PM (EST)
    (N.B. Hard deadline - No on-site registration)

    Education Seminar

    Symposium Registration is Free!

    ICSB Registration Required!

    Registration of the satellite symposium is free. Yet, as space is limited, we require registration via EventBrite. Symposium participants still need to register for the ICSB2019 main conference!

    PreMED '19 Symposium :


    ICSB 2019 Conference :


  • Calling for contributed talks

    Deadline: 31 September 2019

    HTML5 & CSS3

    Call for abstracts

    We are looking forward to having your novel insights on precision medicine, networks and big data in PreMED '19, Okinawa, 31st October, 2019. This satellite focuses on interdisciplinary research on network medicine in the fields of computational biology, physics, computer science, mathematics, and statistics with the participation of a broad and diverse audience. The focus of this symposium will be on personalized medicine and how big data approaches can help in this field, with topics including but not limited to systems medicine, disease networks and comorbidities, omics data integration and exploitation of electronic health records, cancer, complex diseases.


    We invite you to submit a 500 word abstract including one descriptive figure using our EasyChair submission link by September 31, 2019.


The Okinawa Institute of Science and Technology Graduate School, Okinawa, Japan



Amitabh Sharma

Channing Division of Network Medicine
Harvard Medical School
Complete Genomics Inc.


Jose Nacher

Department of Information Science
Faculty of Science, Toho University


Kwang-Il Goh

Department of Physics, Korea University


Vera Pancaldi

Centre de Recherche en Cancerologie de Toulouse, Inserm
Paul Sabatier University, Toulouse
Life Sciences
Barcelona Supercomputing Center