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AI-driven Insights from Real World Data Defining Behavioral Biomarkers and Phenotypes

AI-driven Insights from Real World Data
Defining Behavioral Biomarkers and Phenotypes

The symposium

The predictive capabilities of traditional, vital-based biomarkers on trial outcomes has been under investigation in clinical trials. However, Real World Data is much more than measured vitals: patient-reported outcomes and physical measurements from trial participants’ lifestyles can provide us with extended biomarkers. Can they be useful in predicting future patient reported outcomes or even trial outcomes? Can they be used to model patients or to cluster them into behavioural phenotypes? These are questions addressed under the framework of the workshop, where we will see how AI can support traditional industries, such as Life Sciences, as well as Health, Wellbeing and Ageing. We will also present commercial applications and R&D projects, discussing the challenges and opportunities through the introduction of AI.

the programme

09.00 - 09.30

Registration & Coffee

09.30 - 09.45

Welcome notes by Hermie Hermens (University of Twente) & Dr. Sofoklis Kyriazakos (Innovation Sprint)

09.45 - 10.10

Inspiring keynote, Christina Kyriakopoulou (European Commission, DG-RTD)

10.10 - 10.35

Modeling a treatment protocol with little clinical data, Rom Langerak (University of Twente)

10.35 - 10.50

Startup talk:, Sofoklis Kyriazakos (Innovation Sprint)

10.50 - 11.20

Startup talk:, Francisco Diaz-Mitoma (Bowhead Health)

11.20 - 11.50

Coffee break

11.50 - 12.15

Defining Biomarkers & Behavioral Phenotypes, Alfredo Cesario & Aristodemos Pnevmatikakis (Innovation Sprint)

12.15 - 12.40

MDR impact on Software as Medical Devices, Kyun Thibaut (COVARTIM)

12.40 - 13.05

Generator project, Vincenzo Valentini (Policlinico Gemelli / UCSC)

13.05 - 13.45


13.45 - 14.00

AI-driven clinical study APACHE (cervical cancer), Vincenzo Valentini (Policlinico Gemelli / UCSC)

14.00 - 14.15

AI-driven clinical study PADAWAN (Non Alcoholic Fatty Liver Disease), Luca Miele (Policlinico Gemelli / UCSC)

14.15 - 14.40

Intelligent triage for low back pain, Wendy Oude Nijeweme – d’Hollosy (University of Twente)

14.40 - 15.05

Towards holistic profiling and personalized cancer treatment, Annemieke Witteveen (University of Twente)

15.05 - 16.05

Pitches from R&D projects (10 minutes each)

  • H2020 EU-STANDS4PM, Marc Kirschner (FZ-Juelich)
  • H2020 REPO-TRIAL, Harald Schmidt (Maastricht University) 
  • H2020 INFINITECH, Christiane Grundloh (RRD) 
  • H2020 COUCH, Harm op den Akker (RRD)
  • H2020 PANACEA, Aristodemos Pnevmatikakis (Innovation Sprint)
  • H2020 CO-ADAPT, Konstantina Kostopoulou (Innovation Sprint)

16.05 - 16.30

Panel discussion: How AI can be integrated to Life Sciences and Healthcare

16.30 - 17.00

Networking drinks


when & where

  • 17 December 2019
  • 09.00 - 17.00 (registration between 9.00 - 9.30, drinks at 16.30)
  • Language: English
  • The TechMed Centre (Technohal building 18), Auditorium (TL 1133)
    On the campus of The University of Twente, Drienerlolaan 5, Enschede, The Netherlands; Route


We welcome a maximum number 80 participants. We will count on your participation for reserving a meal-filling lunch and drinks. If you cannot attend the event for which you have already registered, we kindly ask that you let usknow. Simply e-mail


This event is an initiative of the company Innovation Sprint which is situated in Brussels and TechMed Centre's strategic programme Personalized eHealth Technology. 

Innovation Sprint

We are an e-health startup with focus on digital transfomation of companies and orgnaizations seeking disruption. We combine medical, ICT and data analysis expertise to improve health and pharmaceutical products and services, and to develop personalised healthcare solutions.


It becomes more and more evident that the current approach to healthcare is not sustainable, especially when considering the increasing volume and demands of chronic diseases, requiring a rethinking of strategies towards innovative solutions. The use of Information and Communication Technologies in healthcare – eHealth – is a promising strategy to improve healthcare worldwide. Biological (e.g. genetic pre-disposition), behavioral (e.g. lifestyles) and environmental (e.g. physical and social context) factors influence the surge and progression of chronic diseases. eHealth also allows to target this challenge of diversity, for example, by providing personalized solutions adaptable to each user, and also to changes over time. Every individual, dealing with any specific condition presents a distinctly unique case, highlighting the need for Personalized eHealth Technology.