Day 1: Big data, better healthcare? 1 November

How is big data influencing healthcare and healthcare research? How will it help us and what are the limitations? The first day of the 12th edition of the Radboud New Frontiers symposium, on 1 November 2018, will give you all the answers (and raises new questions).

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Day 1: Big data, better healthcare? 1 November

On 1 and 2 November 2018, the Radboudumc New Frontiers Congress takes place in Nijmegen, The Netherlands. The first day is about the way big data changes healthcare. This day is in English and has researchers from a broad range of disciplines as its target group. The second day is about network care. This day is in Dutch with healthcare stakeholders as target group.

With new scientific insights and increasing technological possibilities medical research is rapidly changing. Increased computer capacity, availability of data and connectivity between databases have propelled the development of fields such as multi-omics, network medicine and computational medicine. Insights derived from the application of these new methodologies change the way we look at diseases: what once was one disease increasingly turns out to be a collection of rare entities with their own etiology, diagnosis and treatment. Vice versa, we begin to understand how health and disease are inherently multiscale phenomena that emerge out of complex and dynamic interactions within and between a person and his environment. Technologies like lab on a chip and self measurement with all kinds of sensors change the way we collect data to make a diagnosis and the way we monitor diseases. At the same time, healthcare has seen a strong fragmentation leading to a more complex healthcare delivery and organization.

In this context, the topic of this conference is to explore what big data and healthcare data science have to offer for personalized healthcare:
  • What is the potential promise of big data application to healthcare
  • What are examples of successful application of data science
  • What are the technical, organizational, ethical and epistemological limitations of the application of data science in the field of health
  • Will big data help to bridge the divide between medicine-as-a-science and medicine-as-an-art, and improve the individual patient journey?
During this congress, we will provide a peek into the promise, and challenges, of big data application to healthcare.

Contact

Marie-Louise Roovers

+31 (0)24 309 21 36

send an email

Laptop presentations Deadline: 30 September 2018

Note: if you are already registered for Radboud Frontiers 2018 or have registered with the Radboudumc Health Academy before (previously PAO Heyendael), click 'Logon' (if necessary choose Forgot your password).

submit abstract

Registration for this event

Early Bird registration closes on 15 september!

register here


Instructions laptop presentations

Please find below the instructions for the laptop presentations:
  • Prepare a presentation with a maximum of 5 slides describing your project.
  • Your presentation at the symposium should not exceed 5 minutes. The committee will time your presentation.
  • The language of the laptop presentations will be English.
  • You need to bring your own laptop. Please make sure that the battery is fully loaded. Power supply is available when needed.
  • Since the committee has a tight time schedule they will ask you to restart your presentation when they arrive at your table.
  • The best laptop presentation will be awarded.
Click here to submit your abstract for the laptop presentations.


Guest speakers and content

Introductory talk, from futurist / company perspective:


Dr. Leonard D'Avolio (CYFT and Harvard) (confirmed)

Tapping into the potential of health data for better health
Dr. Leonard D’Avolio, Ph.D. has experience working with government, academia, philanthropy, and industry to make the learning healthcare system a reality. He’s the co-founder of Cyft, an organization that uses data and AI to improve clinical care and operations. He is also an Assistant Professor at Brigham and Women’s Hospital and Harvard Medical School, an advisor to the Helmsley Charitable Trust Foundation and several healthcare startups, and a board member for Youth Development Organization.  He helped improve childbirth across 70 clinics in India working with Dr. Atul Gawande at Ariadne Labs, created the infrastructure for the world’s largest genomic medicine cohort, and embedded the first clinical trial within an electronic medical record system for the Dept. of Veterans Affairs. His work has been funded by the National Cancer Institute, Department of Veterans Affairs, Department of Defense, Bill and Melinda Gates Foundation, National Library of Medicine, and the Helmsley Charitable Trust Foundation. 


Dr. Jeroen van de Laak (Radboudumc) (confirmed)

Using deep learning strategies to improve diagnosis
Jeroen van der Laak is associate professor in computational Pathology at the Department of Pathology of the Radboud University Medical Center in Nijmegen, The Netherlands and guest professor at the Center for Medical Image Science and Visualization (CMIV) in Linkoping, Sweden. His research focuses on the use machine learning for the analysis of whole slide images. Application areas include: improvement of routine pathology diagnostics, objective quantification of immunohistochemical markers, and study of novel imaging biomarkers for prognostics. Dr van der Laak has an MSc in computer science and acquired his PhD from the Radboud University in Nijmegen. He co-authored over 90 peer-reviewed publications and is member of the editorial boards of Laboratory Investigation and the Journal of Pathology Informatics. He is member of the board of directors of the Digital Pathology Association and organizer of sessions at the European Congress of Pathology and the Pathology Visions conference. He coordinated the highly successful CAMELYON grand challenges in 2016 and 2017. Dr van der Laak acquired research grants from the European Union and the Dutch Cancer Society, among others. He is frequently invited as a speaker at international conferences.


Dr. Brian Bot (Sage BioNetworks) (confirmed)

Biomedical research in an increasingly digital world
Brian Bot is Principal Scientist and Head of Outreach and Strategic Development at Sage Bionetworks in Seattle, WA USA. Brian's interests lie at the intersection of biomedical research, technology, and policy. Brian was recently named by Mozilla as one of “50 People Who Are Making the Internet a Better Place.” His current work aims to make the biomedical research system more effective by challenging the traditional roles of researchers, institutions, funders, and research participants. At its heart, this work is rooted in building trust between these parties as well as with the public at large.


Prof. Johan Bollen (Indiana University Bloomington) (confirmed)

Using social networking data to model public health and well-being
Johan Bollen is a professor at the Indiana University School of Informatics and Computing. He was formerly a staff scientist at the Los Alamos National Laboratory from 2005-2009, and an Assistant Professor at the Department of Computer Science of Old Dominion University from 2002 to 2005. He obtained his PhD in Experimental Psychology from the Vrije Universiteit Brussel (VUB) in 2001. He has published more than 75 articles on computational social science, social media analytics, informetrics, and digital libraries. His research has been funded by the NSF, DARPA, IARPA, EDA, NASA, and Andrew W. Mellon Foundation. Johan lives in Bloomington, Indiana with his wife and daughter.


Prof. Robert Stewart (King’s College, Londen) (confirmed)

Mental healthcare data science: the CRIS experience
Rob Stewart is Professor of Psychiatric Epidemiology and Clinical Informatics at King’s College London Institute of Psychiatry, Psychology and Neuroscience (IoPPN). He also works as a Consultant in Liaison Old Age Psychiatry at the South London and Maudsley NHS Trust (SLaM). Prof. Stewart joined IoPPN in 1996 as a junior clinical researcher and has developed specialist interests in the epidemiology of late life mental disorders, international mental health and, more recently, clinical informatics. He has been academic lead for the Clinical Record Interactive Search (CRIS) data resource at SLaM since its development in 2007 – a platform allowing the research use of anonymised electronic mental health records for over 400,000 SLaM patients, supplemented over the years with a range of data linkages and natural language processing algorithms. CRIS has supported over 120 research papers to date and an extensive portfolio of projects across all mental healthcare specialties, as well as being set up as a data resource to a number of other mental health services.


Prof. Alessandro Vespignani (MOBS-lab, Northeastern University) (confirmed)

Infectious disease computational epidemiology
Alessandro Vespignani research activity is focused on the study of “techno-social” systems, where infrastructures composed of different technological layers are interoperating within the social component that drives their use and development. In this context we aim at understanding how the very same elements assembled in large number can give rise – according to the various forces and elements at play – to different macroscopic and dynamical behaviors, opening the path to quantitative computational approaches and forecasting power.
The main research lines pursued at the moment are:
  • Develop analytical and computational models for the co-evolution and interdependence of large-scale social, technological and biological networks.
  • Modeling contagion processes in structured populations.
  • Developing predictive computational tools for the analysis of the spatial spread of emerging diseases.
  • Analyze the dynamics and evolution of information and social networks.
  • Model the adaptive behavior of social systems.
Prof. Vespignani is a joint appointment between the College of Science, the College of Computer and Information Science, and the Bouvé College of Health Sciences.


Prof. Bram van Ginneken (Radboudumc) (confirmed)

Integrating and putting the possibilities into perspective
Bram van Ginneken is Professor of Functional Image Analysis at Radboud University Nijmegen Medical Centre. Since 2010, he is co-chair of the Diagnostic Image Analysis  Group within the  Department of Radiology and Nuclear Medicine, together with Nico Karssemeijer. He also works for Fraunhofer MEVIS in Bremen, Germany, and is one of the founders of Thirona a company that provides quantitative analysis of chest CT scans. Bram studied Physics at the Eindhoven University of Technology and at Utrecht University. In March 2001, he obtained his Ph.D. at the Image Sciences Institute (ISI) on Computer-Aided Diagnosis in Chest Radiography. From 2001 through 2009 he led the Computer-Aided Diagnosis group at ISI, where he still is has an Associated Faculty position. He has (co-)authored over 100 publications in international journals. He is Associate Editor of IEEE Transactions on Medical imaging and member of the Editorial Board of Medical Image Analysis. He has pioneerd the concept of challenges in medical analysis.


Prof. George Davey Smith (University of Bristol) (confirmed)

What are the limits to prediction in medicine?
Professor George Davey Smith is a clinical epidemiologist, director of the MRC Integrative Epidemiology Unit (IEU) at the University of Bristol and Scientific Director of the Avon Longitudinal Study of Parents and Children.
 
Professor Davey Smith’s research has pioneered understanding of the causes and alleviation of health inequalities; lifecourse epidemiology; systematic reviewing of epidemiological evidence; and the study of population health contributions of the new genetics. He is particularly interested in developing and applying Mendelian randomization approaches, interrogating the causal role of behavioral factors (such as alcohol consumption) and intermediate phenotypes on different health outcomes, such as cardiovascular diseases and type 2 diabetes.


Dr. Tamar Sharon (Maastricht University) (confirmed)

Bigger data, better healthcare, broader ethical challenges
Tamar Sharon is an assistant professor in the philosophy department and Science & Technology Studies group at Maastricht University, The Netherlands. Her research explores the societal and ethical impacts of new and emerging technologies in a context of shifting understandings of health, citizenship and participation. She has published on human enhancement (Human Nature in an Age of Biotechnology, 2014), self-tracking for health, and the political economy of personal health data sharing. She has received various research grants and prizes for her research, including the Mara Bellar Prize (IL), the Edmond Hustinx Prize for Science (NL), and the Netherlands Organisation for Science "Rubicon" and "VENI" grants. She is a member of the Maastricht Young Academy, the Institute for Data Science (Maastricht) and the Data and Information Technologies in Health and Medicine Lab at King’s College London, where she has also been a Visiting Fellow.
 

Debate with speakers and principal clinicians

How will healthcare data science benefit the caring relationship?
Each speaker will be asked to end talk with provocative statement that the audience can vote on during the day (and discuss on twitter/social media!). So ideally, the votes are visible during the day.

Program New Frontiers Congress Day 1

The first day of the congress is about the way big data changes healthcare. This day is in English and has researchers from a broad range of disciplines as its target group. The second day is about network care. This day is in Dutch with healthcare stakeholders as target group.

read more

Program New Frontiers Congress Day 1

On 1 and 2 November 2018, the Radboudumc New Frontiers Congress takes place in Nijmegen, The Netherlands. The first day is about the way big data changes healthcare. This day is in English and has researchers from a broad range of disciplines as its target group. The second day is about network care. This day is in Dutch with healthcare stakeholders as target group.
 
With new scientific insights and increasing technological possibilities medical research is rapidly changing. Increased computer capacity, availability of data and connectivity between databases have propelled the development of fields such as multi-omics, network medicine and computational medicine. Insights derived from the application of these new methodologies change the way we look at diseases: what once was one disease increasingly turns out to be a collection of rare entities with their own etiology, diagnosis and treatment. Vice versa, we begin to understand how health and disease are inherently multiscale phenomena that emerge out of complex and dynamic interactions within and between a person and his environment. Technologies like lab on a chip and self measurement with all kinds of sensors change the way we collect data to make a diagnosis and the way we monitor diseases. At the same time, healthcare has seen a strong fragmentation leading to a more complex healthcare delivery and organization.

In this context, the topic of this conference is to explore what big data and healthcare data science have to offer for personalized healthcare:
  • what is the potential promise of big data application to healthcare;
  • what are examples of successful application of data science;
  • what are the technical, organizational, ethical and epistemological limitations of the application of data science in the field of health;
  • and will big data help to bridge the divide between medicine-as-a-science and medicine-as-an-art, and improve the individual patient journey?
During this congress, we will provide a peek into the promise, and challenges, of big data application to healthcare.

THURSDAY 1 NOVEMBER 2018

 
  8:30-9:00   Registration, coffee & tea
  9:00-9:15   Welcome Prof. Bart Kiemeney, RIHS & Dr. René Melis, program
  chair
  9:15-9:45   Introductory talk, from futurist / company perspective: (Dr.
  Leonard D'Avolio, CYFT and Harvard)
(confirmed)
  Tapping into the potential of health data for better health
  9:45-10:15   Dr. Jeroen van de Laak (Radboudumc) (confirmed)
  Using deep learning strategies to improve diagnosis
  10:15-10:45   Coffee break
  10:45-11:15   Dr. Brian Bot (Sage BioNetworks) (confirmed)
  Biomedical research in an increasingly digital world
  11:15-11:45   Prof. Johan Bollen (Indiana University Bloomington) (confirmed)
  Using social networking data to model public health and well-
  being
  11:45-13:00   Lunch, laptop session (selected topics related to big data
  theme)
  13:00-13:30   Prof. Robert Stewart (King’s College, Londen) (confirmed)
  Mental healthcare data science: the CRIS experience
  13:30-14:00   Prof. Alessandro Vespignani (MOBS-lab, Northeastern
  University) (confirmed)
  Infectious disease computational epidemiology
  14:00-14:30   Prof. Bram van Ginneken (Radboudumc) (confirmed)
  Integrating and putting the possibilities into perspective
  14:30-15:00   Coffee break
  15:00-15:15   John Graunt Award
  15:30-16:00   Prof. George Davey Smith (University of Bristol) (confirmed)
  What are the limits to prediction in medicine?
  16:00-16:30   Dr. Tamar Sharon  (Maastricht University) (confirmed)
  Bigger data, better healthcare, broader ethical challenges
  16:30-17:00   Debate with speakers
  How will healthcare data science benefit the caring
  relationship?
  17:00-17:15   Laptop presentation awards and closure
  17:15-18:00   Drinks

John Graunt Award

John Graunt is considered as one of the first demographers and epidemiologists. An award in his name serves to honour the recipients for their eminence and influence in the health sciences.

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John Graunt Award

In the seventeenth century, the influential Londoner John Graunt developed early human statistical and census methods that later provided a framework for modern demography. He produced the first life table, giving probabilities of survival to each age. Many consider Graunt as the first epidemiologist, since his famous book 'Natural and Political Observations Made upon the Bills of Mortality' was concerned mostly with public health statistics. This book used analysis of the mortality rolls in early modern London, as the London officials attempted to create a system to warn of the onset and spread of bubonic plaque in the city. Though the system was never truly created, Graunt's work in studying the rolls resulted in the first statistically based estimation of the population of London. John Graunt’s book led him to the Royal Society, where he presented his work and was subsequently elected a fellow with the endorsement of the King. He was later chosen as a member of the council of the Society.

Every two years the Radboud Institute for Health Sciences will honor a scientist for his / her extraordinary achievements in one of the population sciences with the John Graunt Award.

The John Graunt Award was designed and created as a small bronze statue by mrs. Lia Krol (Atelier Mariaheim). She chose to characterize John Graunt, and consequently also the award recipients, with an abacus, because counting can be considered as the foundation of all population sciences. The logo of the Radboud University is incorporated in the statue to illustrate the origin of the award: the Radboud Institute for Health Sciences, one of the 14 research institutes of Radboud University, Nijmegen, The Netherlands.

Day 2 New Frontiers symposium

Note: the second day of the symposium is in Dutch.

go to event page (Dutch)

Venue Radboudumc Auditorium

Entrance: Radboud Auditorium
Route: 296

get directions

Venue Radboudumc Auditorium

Visiting address

Geert Grooteplein 15
6525 EZ Nijmegen


Directions

Enter building at: Radboud Auditorium
Follow route 296
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