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Ilias Iakovidis, PhD

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Directorate General: Information Society. Biomedical informatics ... synthesizes knowledge at all levels. Genome. Epidemiology. Vision ... – PowerPoint PPT presentation

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Title: Ilias Iakovidis, PhD


1
Biomedical informatics in support of genomic
medicine
Workshop on Biomedical Informatics Brussels
18 March 2004
  • Ilias Iakovidis, PhD
  • Deputy Head of Unit
  • Unit ICT for Health
  • Directorate Components and subsystems.
    Applications
  • Directorate General Information Society

2
20 Years of eHealth in European Union
NEXT 10 years (2003-2014)
PAST 10 years (1991-2002)
Computer Applications for Doctors Telemedicine
systems and services
Regional Health Info Networks Home-care
systems Personal Health Systems
_at_
Budget20M
Budget100M
Budget140M
Budget200M
Projects30
Projects63
Projects158
Projects125
ResultsFeasibility Study
ResultsAIM Community
Results1st batch of Products
ResultsEU Health Telematics Industry
3
Biomedical InformaticsKnowledge Empowering
Individual Health Care Well-Being
2.Bioinformatics/Genomics (BI)molecular and cell
informatics
1.Medical Informatics (MI)citizen, patient and
population informatics
Medical Sciences
Biological Sciences
  • Electronic Health Records
  • Decision Support Systems
  • Terminologies, ontologies
  • Telemedicine
  • Interoperability of systems
  • Structural Genomics
  • Functional Genomics
  • Proteomics
  • Biochip Technologies
  • Computational Biology

A
D
Example Advancing into the molecular causes of
diseases Genomic Medicine
C
B
Example Informatics in support of the next
generation of brain research Molecular
Neuroscience
  • Biosignal Analysis and Pattern Recognition
  • Neuro Algorithms
  • Neurocell Technology
  • Human Computer Interfaces
  • Machine Learning

Example integration of genomic and neuroscience
databases Neurogenomics
Behavioral Sciences Social Sciences
3.Neuroinformatics (NI)cell to organ informatics
DG INFSO.B.1/JCH/CVD/ 14.XII.2001/ rings
v19/10/2001
4
Examples
  • Phenotype is the "outward, physical
    manifestation" of the organism.
  • Genotype is the "internally coded, inheritable
    information
  • Proteotype total of genes expressed in a cell,
    tissue or organism
  • Providing an association between phenotype and
    genotype and proteotype is critical to being able
    to understand and create models of disease. This
    association is also key to targeting critical
    pathways in disease and identifying the genes and
    proteins that regulate biological processes, thus
    identifying better drug targets
  • RD topics
  • in silico methods for description of cellular
    systems
  • Biobanks for validation of biological research
    epidemiology
  • Molecular and functional imaging
  • New developments in DNA/protein detection will
    pose new challenges for data processing, storage,
    communication and security ( new approach to EHR)
  • - HealthGrid

5
Synergy between Research inMedical Informatics,
Bio-Informatics and Neuro-Informatics
Knowledge empoweringIndividualised Healthcare
and Well-Being
14 December 2001Pyramids, Place Rogier, Brussels
European Commission DG-Information Society,
DG Research
6
BIOINFOMED
  • Prospective Analysis on the Relationships and
    Synergy between Medical Informatics and
    Bioinformatics
  • URL http//bioinfomed.isciii.es
  • Institute of Health Carlos III Madrid (Dr.
    Fernando Martin-Sanchez)
  • Polytechnical University of Madrid (Prof. Victor
    Maojo)
  • Linkoping University (Prof. Ankica Babic)
  • Study brought together 32 experts from Europe and
    US
  • Result a research roadmap for BMI

7
(No Transcript)
8
Biomedical Informatics Synergy between Medical
Informatics, Bioinformatics and
Neuroinformatics Example of synergy between
medical informatics and Bioinformatics
Dr. Fernando Martin-Sanchez
9
Biomedical Informaticssynthesizes knowledge at
all levels
Population
Public Health Informatics
Patient
Medical Informatics
Tissue, organ
Medical Imaging
Cell
Molecule, gene
Bioinformatics
10
Vision
Computing Grid For data crunching applications
  • An environment, created through the sharing of
    resources, in which heterogeneous and dispersed
    health data
  • molecular data (ex. genomics, proteomics)
  • cellular data (ex. pathways)
  • tissue data (ex. cancer types, wound healing)
  • personal data (ex. EHR)
  • population ( ex. epidemiology)
  • as well as applications, can be accessed by all
    users as an tailored information providing system
    according to their authorisation

Knowledge Grid Intelligent use of Data Grid for
knowledge creation and tools provisions to all
users
Data Grid Distributed and optimized storage of
large amounts of accessible data
ICT for Health, ISTAG WG, March 2004
11
Objectives of the workshop
  • Presentation of all EU funded projects on BMI
  • Exchange of information, human networking
  • Facilitating the creation of BMI community
  • Developing activities stimulating the creation of
    ERA in BMI such as conferences, working groups,
    associations etc
  • Identification of areas of synergy
  • For example, common approach to dissemination,
    exploitation, maximising industrial validation
    and impact
  • Promoting international cooperation and synergy
    with other national and international initiatives
  • mutually beneficial international collaboration
    is encouraged, in particular with US, Canada,
    Australia
  • Identifying future RD requirements and specific
    topic with short term potential impact
  • input to EC work programme 2005 -2006 and FP7

12
Preparation of WP 2005 - 2006
  • collection of ideas at workshop such as this one
  • opening of web based consultation on RD
    requirements
  • http//ist.eurodyn.com/fp6_2/top-level/01/workprog
    ramme/wp0506-consultation.htm
  • consolidation during the workshop 2-3 June,
    2004, Brussels on Risk Mangement in Healthcare,
    Brussels
  • drafting of the Work programme
  • European Commission by mid July, previous work
    programme as a basis
  • adoption and announcement of Call 4
  • (old) Commission by end of October and
    publication mid December

13
Conclusions
  • Following the successful RD on ICT technologies
    during the last 20 years and the genomics and
    post genomics program during the last 10 years
  • the future is bright for interdisciplinary
    research and synthesis of knowledge for health
    combining medical informatics, bioinformatics,
    neuroinformatics (biomedical informatics)
  • Expectation from the new projects in the area of
    biomedical informatics to demonstrate the
    potential of the area
  • Hope that the workshop can facilitate future
    creation of e an BMI community that will soon
    have an impact on ERA with new knowledge for
    health and new tools and services for health care
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