1) Personalized healthcare aims to stratify patients based on multi-level diagnoses and patient preferences to select personalized therapies. 2) Radboud University Medical Center is working to advance personalized healthcare through various technology centers that integrate omics data like genomics, glycomics, and metabolomics. 3) Key goals include developing diagnostic tests and personalized therapies through collaborative projects, working with innovators and spin-off companies, and integrating data and technologies.

1. Personalized health(care)
through integrated technologies
Head Radboud Center for Proteomics, Glycomics
and Metabolomics
Coordinator Radboud Technology Centers
Head Biomarkers in Personalized Healthcare
Health Valley meets Topsector LSH
20 Aug 2014
Alain van Gool
Professor Personalized Healthcare
Radboudumc, TNO

2. Personalized Healthcare @ Radboudumc
Patient
Radboud
Personalized Healthcare
A significant impact
on healthcare
Molecule
Population
2

3. Personalized Healthcare @ Radboudumc
People are different Stratification by multilevel diagnosis
+
Patient’s preference of treatment
Exchange experiences in
care communities
Select personalized therapy
3

4. Personalized Health(care) model
4
Analogies:
• Technology enabled
• Personal choice to actively monitor or not
• Success through participation of user
• Commercial competition of tool builders to standard of market leader(s)
• Implementation as standard in society
P4 medicine: Participatory, Predictive, Preventive, Personalized
GPS to health
Health Valley meets Topsector LSH
Nijmegen
20 Aug 2014
Alain van Gool

5. Radboudumc Technology Centers
• Proteins
• Metabolites
• Preclinical
• Clinical
• Behavioural
• Animal facility
• Systematic review
• Cell analysis
• Sorting
• Pediatric
• Adult
• Phase 1, 2, 3, 4
• Vaccines
• Pharmaceutics
• Radio-isopes
• Malaria parasites
• Management
• Analysis
• Sharing
• DNA
• RNA
• Internal
• External
• HTA
• Evidence-based surgery
• Field lab
• Statistics
• Biological
• Structural
• Preclinical
• Clinical
Expertises
Health Valley meets Topsector LSH
Nijmegen
20 Aug 2014
Alain van Gool
5

6. Radboudumc Technology Centers
Alain van Gool
Dirk Lefeber
Leo Kluijtmans
Roger Bruggeman
Uli Brandt
Frans Russel
Marcel Nelen
Alexander Hoischen
Joris Veltman
Arnoud van der Maas
Ariaan Siezen
Kasper van Beem
Maroeska Rovers
Alain van Gool
Marieke Welzen
Carl Figdor
Jolanda de Vries
Harry Dolstra
Otto Boerman
Robert Sauerwein
Frans Pieters
Gerhard Zielhuis
Peggy Manders
Maroeska te Loo
Dyonne van Duren
Marieke Welzen
Hein Gooszen
Maroeska Rovers
Mathias Prokop
Otto Boerman
Mathias Prokop
Chris de Korte
Peter Friedl
Jack Fransen
Judith Hornberg
Guillen Fernandez
Merel Ritskes
Alain van Gool
Nathalie Bovy
Bob de Jonge
Marcel Wortel
Dirkjan Masman
John Schalken
People Harry Dolstra
Frank Preijers
Joop Jansen
Carl Figdor
Martijn Huijnen
Gert Vriend
Christian Gillissen
About 240 people working in 15 Technology Centers, ~1500 users (internal, external), ~100 consortia
Health Valley meets Topsector LSH
Nijmegen
20 Aug 2014
Alain van Gool
6

7. Input-output Radboudumc Technology Centers
In
Scientist
Industry
Science
Papers
Lectures
Grants
Funding
Valorisation
Diagnostics
Commercial
Patents
Out
Patient
Health Valley meets Topsector LSH
Nijmegen
20 Aug 2014
Alain van Gool
Spin-off
companies
7

8. Example of Personalized Healthcare in Radboudumc
• 12 families with liver disease and dilated cardiomyopathy (5-20 years)
• Initial clinical assessment didn’t yield clear cause of symptoms
• Specific sugar loss of serum transferrin identified via glycoproteomics
ChipCube-LC- Q-tof MS
• Outcome 1: Explanation of disease
• Outcome 2: Dietary intervention as succesful personalized therapy
• Outcome 3: Glycoprofile transferrin developed and applied as diagnostic test
• Genetic defect in glycosylation enzyme (PGM1) identified via exome sequencing
{Tegtmeyer et al, NEJM 370;6: 533 (2014)}
Genomics Glycomics Metabolomics
Health Valley meets Topsector LSH
Nijmegen
20 Aug 2014
Alain van Gool
8

9. Working through multi-partner projects
Standardisation, harmonisation,
knowledge sharing needed in:
1. Assay development
2. Clinical validation
9
Example: Biomarker Development Center
Health Valley meets Topsector LSH
Nijmegen
20 Aug 2014
Alain van Gool
Roadmap Molecular Diagnostics Grant 4.3M Eur Move towards IMI2 funding

11. Working through global innovators
Exponential
technologies
Digital
medicine
Integrated
care
Artifical
intelligence
Robotics Patients
included
Lifestyle
Self
quantification
Global
health
Artifical Watson
intelligence
Regenerative
medicine
23andme
Robotics
Example: Singularity University’s Faculty
11
Health Valley meets Topsector LSH
Nijmegen
20 Aug 2014
Alain van Gool

12. Selfmonitoring
12
Health Valley meets Topsector LSH
Nijmegen
20 Aug 2014
Alain van Gool

13. Working through spin-off companies
13
Example: MITeC
Health Valley meets Topsector LSH
Nijmegen
20 Aug 2014
Alain van Gool
Cancer Surgery in 2014

14. Working through spin-off companies
14
Example: MITeC
Health Valley meets Topsector LSH
Nijmegen
20 Aug 2014
Alain van Gool
Cancer Surgery in 2015

15. Working through spin-off companies
15
Example: MITeC
Health Valley meets Topsector LSH
Nijmegen
20 Aug 2014
Alain van Gool
www.mitec.nl

16. LS&H portefeuille Radboud Holding BV
Thirona Pansynt B.V.
MedValue i.o.
16

17. Working together on the Radboud campus
(Spin-out)
companies
17

18. Radboud Nanomedicine Alliance
Mission: to create precise solutions for wound healing,
tissue regeneration and
mitochondrial disease
Active collaboration
Between scientists,
medical doctors
and industrial partners
Full support RU and UMC
18

19. Key Topics
• Molecular engineering of the extracellular matrix: toward
programmable cell behaviour
Team Leaders: Prof. W.T.S. Huck, Prof. J. Jansen
• Nanomedicine for regulation of intracellular processes:
targeted mitochondrial drug delivery
Team Leaders: Prof. J. C. M. van Hest, Prof. J. Smeitink
• The advent of nanomedicine: philosophical, ethical and
societal issues of precision therapy
Team Leader: Prof. H. Zwart
Core activities based on international strengths
19

20. Radboud Research Facilities
• Biochemical Screening Facility
• BioMedical Imaging Research Facility
• Neuro & Motion Research Facility
• Health Supercomputing Research Facility
• Nano & Microbiology Facility
Opening 2 October 2014
14.4 M Euro investment in new equipment
Access for companies and academics to
technology infrastructure
20

21. Working with other Technology Networks
Region, nation, Europe, world
Health Valley meets Topsector LSH
Nijmegen
20 Aug 2014
Alain van Gool
21

22. New shared innovation programs
Drug
Discovery
Devices
Diagnostics
Ongoing: Joining forces in Health Valley region
Integrative approach towards Personalized Healthcare
Public-private partnership
Health Valley meets Topsector LSH
Nijmegen
20 Aug 2014
Alain van Gool
22

23. Personalized Health(care)
My ways forward:
• Patients included
• Participation + collaboration
• Selfmonitoring
• Personal profiles
• System biology
• (Big) Data sharing
• Personal preferences
• Personalized therapies
• Lifestyle + Nutrition + Pharma
Health Valley meets Topsector LSH
Nijmegen
20 Aug 2014
Alain van Gool
23

24. Personalized Health(care) model
Homeostasis Allostasis Disease
Time
Disease
Health
Personalized
Intervention
of patients-like-me
Big Data
Risk profiles
of persons-like-me
Molecular
Non-molecular
Environment
…
Personal profile
Selfmonitoring
Adapted from Jan van der Greef (2013)
24
P4 medicine:
- Personalized
- Participatory
- Predictive
- Preventive
Health Valley meets Topsector LSH
Nijmegen
20 Aug 2014
Alain van Gool