• Network Medicine '18

    Personalized Medicine in the Era of Big Data

  • NetSci Conference 2018

    June 11-15, 2018

    Paris, France

About

A Satellite Symposium at NetSci 2018!

Paris, France

Personalized Medicine in the Era of Big Data

The Vision

Network science is having a huge impact in various aspects of health-related research. 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.

The People

This satellite symposium, hosted by NetSci and located at L’école de Musique - République, Paris - is organized by Amitabh Sharma from the Channing Division of Network Medicine at Harvard Medical School, Mark Santolini, from the Network Science Institute at Northeastern University, Vera Pancaldi, from the Barcelona Supercomputing Center and Thomas Rolland, from Institut Pasteur, Paris. It will bring together scientists, researchers and students from multi-disciplinary fields like network science, clinical science, systems biology and genomics.

The Research

There is 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 the two themes of precision medicine and big data analysis at multiple levels of resolution. We expect to attract a number of practitioners of this rapidly emerging area, including established investigators, with clinical expertise of complex diseases, and computational biologists. This satellite 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. The satellite symposium will bring together a number of practitioners of this rapidly emerging area, including both established investigators in network science applied to medicine and experts in personalized medicine.

Speakers for NetMed18

Schedule


Topics

Session I : 9:10 - 10:55


Coffee Break


Session II : 11:30 - 12:45


Lunch


Download

Welcome and introduction

Luis Rocha

   

Center for Complex Networks and Systems Research School of Informatics, Computing, and Engineering Indiana University, USA Instituto Gulbenkian de Ciencia, Portugal

Andrei Zinovyev

   

Bioinformatics, biostatistics, epidemiology and computational systems biology of cancer, Institut Curie, France

Danielle Bassett

   

Complex systems, Department of Bioengineering Pennsylvania University, USA

Coffee Break

End of Session I

Benno Schwikowski

   

Systems Biology, Institut Pasteur, France

Chenyue Wendy Hu

Department of Bioengineering, RICE University, USA

Jon Sánchez Valle

Barcelona Supercomputing Center - Centro Nacional de Supercomputación, Spain

Kimberly Glass

DFCI Biostatistics and Computational Biology, USA

Lunch

End of Session II

Topics

Session III : 14:00 - 15:15


Coffee Break


Session IV : 16:00 - 17:30


Summary & Close


Download

Natasa Przulj

   

University College London, Computer Science Department, UK

Maria Rodriguez Martinez

   

Zurich Research Laboratory, IBM, Switzerland

Coffee Break

End of Session III

Claudio Duran

   

Biomedical Cybernetics, BIOTEC, TU Dresden, Germany

Tarik Altuncu

   

Department of Mathematics, Imperial College London, UK

Franziska Härtner

   

Computational Biology and Data Mining, Johannes Gutenberg Universität, Germany

e-Therapeutics

   

C4XDiscovery

   

Discussion/Debate with Marie Darrason

   

Assistance Publique des Hôpitaux de Paris, France

Close

Registration & Submission


  • Registration

    Deadline: May 28, 2018 6:00 PM (EST)
    (N.B. Hard deadline - No on-site registration)

    Education Seminar

    Symposium Registration is Free!

    NetSci 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 NetSci2018 main conference!


    NetMed Symposium :

    EventBrite


    NetSci 2018 Conference :

    Registration


  • Calling for contributed talks

    Deadline: 31 March 2018 (CLOSED)

    HTML5 & CSS3

    Call for abstracts

    We are looking forward to having your novel insights on network medicine in NetMed18, Paris, 11th June, 2018. The satellite conference 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.


    Submission

    We invite you to submit a 500 word abstract including one descriptive figure using our EasyChair submission link by March 31, 2018. A free Student NetSci registration will be awarded for the best abstract.



Venue


L’école de Musique - République, 8 bis rue de la Fontaine au Roi, 75011 Paris

Sponsors





C4X Discovery aims to become the world’s most productive drug discovery engine by exploiting cutting edge technologies to design and create best-in-class small-molecule candidates targeting a range of high value therapeutic areas. The company’s goal is to drive returns through early-stage revenuegenerating deals with the pharmaceutical industry.

C4X Discovery has a state-of-the-art suite of proprietary technologies across the drug discovery process. The company’s innovative DNA-based target identification platform (Taxonomy3®) utilises human genetic datasets to identify novel patient-specific targets leading to greater discovery productivity and increased probability of clinical success. This is complemented by C4XD’s novel drug design platform which comprises two innovative chemistry technologies, Conformetrix and Molplex, that combine 4D molecular shape analyses (based on experimental data) with best-in-class computational chemistry. This provides new and unprecedented insight into the behaviour of drug molecules, enabling the production of potent selective compounds faster and more cost effectively than the industry standard. C4X Discovery is advancing its in-house pipeline in addiction, diabetes and inflammation with a number of new drug candidates identified and further progress made towards the clinic. In selecting new targets C4X Discovery will focus on the high-value disease areas of inflammation and neurodegeneration, and will continue to maximise value from opportunistic areas, for example, immuno-oncology, addiction, and diabetes.

The Company was founded as a spin-out from the University of Manchester. It has a highly experienced management team and Board who have delivered significant value creation within the healthcare sector historically and have enabled C4XD to reach multiple value inflexion points since IPO. For additional information please go to: www.c4xdiscovery.com


Seeing the bigger picture of complex disease

eTherapeutics is an Oxford, UK-based company with a unique and powerful computer-based drug discovery platform and a specialised approach to network biology. Our novel network-driven drug discovery ("NDD") methodology allows us to discover new and better drugs in a more efficient and effective way. Seeing the bigger picture of complex disease: watch our story






Organizers





Amitabh Sharma

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

amitabh.sharma@channing.harvard.edu

Marc Santolini

Network Science Institute
Northeastern University

m.santolini@neu.edu

Vera Pancaldi

Life Sciences
Barcelona Supercomputing Center

vera.pancaldi@bsc.es

Thomas Rolland

Human Genetics and Cognitive Functions unit
Institut Pasteur, Paris

thomas.rolland@pasteur.fr