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Amalia-Irina Vlad ICT for Health DG Information Society & Media European Commission ICT WP 2013 Challenge 5 ICT FOR HEALTH, AGEING WELL, INCLUSION AND GOVERNANCE” Strategic Objective 5.2: “Virtual Physiological Human”

Virtual Physiological Human - EUROSFAIRE · Clinical proof of concept of patient specific computer based models • Translation and deployment of VPH models into the clinical practice,

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Amalia-Irina Vlad

ICT for Health DG Information Society & Media

European Commission

ICT WP 2013

Challenge 5

“ICT FOR HEALTH, AGEING WELL, INCLUSION AND GOVERNANCE”

Strategic Objective 5.2:

“Virtual Physiological Human”

••• 2

The Virtual Physiological Human (VPH) and the Call 10 - 2013

Scientific Grand Challenge: • Digital Models for each individual integrating the information and knowledge

useful for personalised prediction, diagnosis and treatment.

Medical impact: • Personalised medicine (e.g. treatment specific to a set of patients,

personalised healthcare) • Preventive and predictive medicine (e.g. moving from costly medical

intervention after symptom and diseases to early detection of predisposition and the cause of diseases)

• Involving the patient in the care process and in the management of health

Solutions: • Use of ICT for multi-scale modelling & simulation of the human body

(zoom in/out from organ to cell/gene levels)

Potential Market: • Medical industry (devices and imaging benefit from simulation) • Software industry (development of models/simulators) • Pharmaceutical industry (to shorten drug development, avoid animal testing,

personalised drug)

What is the VPH?

The Virtual Physiological Human is a methodological and technological framework that once established will enable the investigation of the human body as a single complex system.

This framework should be:

Descriptive Integrative Predictive

Organism

Organ

Tissue

Cell

Organelle

Interaction

Protein

Cell Signals

Transcript

Gene

Molecule

Molecular Biology

Microcomputers/hom

e computers

Finite Elements

VPH/Physiome History

Human Genome Project

Physiome at

IUPS

Conference

1993 2009 1997 2005 2006 2007 2008

Roadmap for

Physiome

EC/ICT Health Start

discussing

Physiome research

Grid Computing

White paper

completed

FP6:

STEP VPH Roadmap

for (STEP)

FP7 call 2

VPH

VPH NoE

Systems Biology

ICT Bio 2008

Physiome

Project

ICT Bio 2006

Source: VPH NoE

FP7 call 4

VPH

2010

FP7 call 6

VPH

VPH 2010

2011 2012

FP7 call 7

FP7 call 9

VPH

VPH 2012

Digital Patient

Roadmap

VPH FET

Roadmap VPH

Roadmap

VPH implementation overview

• 32 Projects ongoing or finished: 15 (Call 2) + 5 (Call 4) + 12 (Call 6) – 22 STREPs – 6 IP – 1 NoE – 3 CSA (including the roadmap on « Digital Patient» - 2011)

• Call 9 evaluation ongoing – New STREPs and IPs expected with 64.5M€ funding

• With Call 10: about 50 Projects (by end of 2013) – For the whole of FP7 50 projects with 206M€ funding

• Websites: http://www.vph-noe.eu

http://www.biomedtown.org/ • Conferences:

ICT-BIO 2006 http://ec.europa.eu/information_society/events/ict_bio_2006/index_en.htm

ICT-BIO 2008 http://ec.europa.eu/information_society/events/ict_bio/2008/index_en.htm

VPH 2010 http://www.vph-noe.eu/vph2010 VPH 2012 http://www.vph-noe.eu/vph2012

• Concertation meetings: on annual basis, organised by VPH NoE

WP2013 - Objective 5.2 VPH

Target outcomes overview: a) Clinical proof of concept of patient specific

computer based models b) Personal health forecasting based on

models, for monitoring and prediction c) RTD roadmap preparing the ground for in-

silico clinical trials

a) and b) STREPs 30.9M€ c) CSA 1 M€

FP7 ICT Objective 5.2 Virtual Physiological Human

Focus a) Clinical proof of concept of patient specific computer

based models

• Translation and deployment of VPH models into the clinical practice, to be used by the healthcare professionals

• Small scale clinical validation/trials • Decision Support Systems and Treatment Planning Systems

(software technologies and human-computer interaction techniques)

• Based on predictive models & simulation with clinical applications in diagnosis and prediction (evolution and treatment)

• Further developments included

FP7 ICT Objective 5.2 Virtual Physiological Human

Focus b)

Personal Health Forecasting for the health status

monitoring and prediction

• Personalised Decision Support Systems to be used by the patient

• Based on Digital Patient, digital representation of the body resulted from the development and integration of personalised multi-scale models

• Patient access on-line to services processing the patients’ data in real time; data collected by personal health systems, self-reported or other sources

• Applications in diseases or lifestyle management

• Demonstrators and pilots:demonstration activities (max reimbursement rate 50%).

FP7 ICT Objective 5.2 Virtual Physiological Human

Focus a) and b)

Instruments/budget:

• STREPs

• Budget: 30.9M€

Call FP7-ICT-2013-10

FP7 ICT Objective 5.2 Virtual Physiological Human

Focus c) RTD roadmap preparing the ground for an in-silico clinical

trials

• In-silico clinical trials based on computer simulations of treating

• Coordination and Support Action

• Roadmap exploring the needs, role, approaches and impacts for such computer clinical trials

• Research Agenda

Instruments/budget:

• 1 CSA

• Budget: 1M€

Call FP7-ICT-2013-10

FP7 ICT Objective 5.2 Virtual Physiological Human

Potential Market:

• Pharmaceutical industry (to shorten drug development, avoid animal testing, personalised drug)

• Medical industry (devices and imaging benefit from simulation)

• Software industry (development of models/simulators)

Expected impacts for targets a) and b):

– Increased confidence in decision support systems based on predictive models;

– Significant reduction of costs through the use of VPH technologies applicable to early diagnosis, prediction of disease and treatments outcomes.

FP7 ICT Objective 5.2 Virtual Physiological Human

Specific additional expected impacts: For target outcome a)

• Strengthened evidence of the clinical benefits in using computer based models.

• Stronger evidence of the clinical impacts of disease prediction

• Acceleration of the deployment of VPH technologies in clinical environments.

• Increased acceptance and use of predictive models by healthcare professionals

For target outcome b)

• Increased acceptance and use of predictive models by patients or citizen.

• Wider deployment of VPH technologies and services to patient or citizen.

• Stronger evidence of the usability of computer based models for patient or citizen.

FP7 ICT Objective 5.2 Virtual Physiological Human

Specific additional expected impacts:

For target outcome c)

•Availability to the community of a Research Agenda on the in-silico clinical trials

•Reinforced leadership of European research in this field through higher visibility of results and recognition

Aim of the event:

to prepare for the Calls for proposals of the new

ICT WP2013 (1.5 billion € of funding)

- by networking and partnerships building

- by first-hand information from EC officials

Structure:

- thematic sessions with presentations of

proposal ideas

- information stands & bilateral meetings

Registration:

free of charge, open from the end of June 2012

http://ec.europa.eu/ictproposersday

ICT Proposers’ Day 2012 26-27 September, Warsaw

Networking for European ICT R&D