2014 08-20 Radboudumc-Health Valley-LSH: Personalized Healthcare through integrated technologies

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

Personalized Healthcare @ Radboudumc

Patient

Radboud Personalized Healthcare

A significant impact

on healthcare

Molecule

Population

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Personalized Healthcare @ Radboudumc

People are different Stratification by multilevel diagnosis

+ Patient’s preference of treatment

Exchange experiences in care communities

Select personalized therapy

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Personalized Health(care) model

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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

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



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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



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Input-output Radboudumc Technology Centers

In

Scientist

Industry

Science Papers

Lectures

Grants

Funding

Valorisation

Diagnostics

Commercial

Patents

Out

Patient



Spin-off companies

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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



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Working through multi-partner projects

Standardisation, harmonisation, knowledge sharing needed in:

1. Assay development

2. Clinical validation

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Example: Biomarker Development Center



Roadmap Molecular Diagnostics Grant 4.3M Eur Move towards IMI2 funding

Working through global innovators

Exponential technologies

Digital medicine

Integrated care

Artifical intelligence

Robotics Patients included

Lifestyle

Self quantification

Global health

Watson Artifical intelligence

Regenerative medicine

23andme

Robotics

Example: Singularity University’s Faculty

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Selfmonitoring

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Working through spin-off companies

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Example: MITeC



Cancer Surgery in 2014


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Example: MITeC



Cancer Surgery in 2015


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Example: MITeC



www.mitec.nl

LS&H portefeuille Radboud Holding BV

Thirona Pansynt B.V.

MedValue i.o.

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http://soteria-medical.com/

http://www.khondrion.nl/

http://www.qmdiagnostics.org/index.php

http://www.noviogendix.com/

Working together on the Radboud campus

(Spin-out) companies

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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

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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

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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

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Working with other Technology Networks Region, nation, Europe, world



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New shared innovation programs

Drug Discovery

Devices

Diagnostics

Ongoing: Joining forces in Health Valley region Integrative approach towards Personalized Healthcare Public-private partnership



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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



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Personalized Health(care) model

Ho

meo

sta

sis

A

llo

sta

sis

D

isease

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)

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P4 medicine: - Personalized - Participatory - Predictive - Preventive

