The document discusses the Basque Biobank in Spain, which collects human samples and medical information to enable personalized medicine and research. It serves over 300 clients annually. The Biobank aims to improve accessibility to samples and data through research and development initiatives. This includes developing a private cloud to store sample data and images, and recruiting partners to help with medical database mining and search capabilities. The ultimate goal is to facilitate research by allowing accessible searches across multiple biobanks.

1. Roberto Bilbao
Director
Basque biobank
Basque Government
Spain
National Perspective Spain

2. The Basque Biobank: a tool
to serve the needs of
personalized medicine and
biospecimen research
Roberto Bilbao
Director, Basque biobank
Basque Government
Spain

4. Value chain of PM
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Taken from: The Cooksey report (A review of UK health research funding), 2006.

5. 5
Biological samples
Clinical data
Hospital
University, research center, companies

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Where can I find the samples and data I need for my collaborative research project?
Geneticist

7. •8 laboratories and a coordination center, 25 technicians, 10M€ investment (2004-14)
•Covers the whole Basque Health System
•Prospective collection of human samples with informed consent linked to full medical information for large-scale “-omic” medicine
•Retrospective cohorts: 500.000 people of the Neonatal Sreening Program for metabolic disorders (First case in Spain)
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Infraestructure

8. Objetives
•Enable personalised medicine
•Identify gene-environmental/lifestyle interactions
•Understand the molecular basis of disease
•Identify new targets for therapy
•Enhance development in drug discovery
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Results
•310 clients :
• public reseach center 37%, University 15%, Biotech and pharmaceutical companies 16%, Hospitals 33%
•80 research projects and 5.000 samples/year

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Sample release to
external projects
R&D in biobanking
How to improve our services: R&D in biobanking
Increase accessibility to samples and clinical
information from EHR

11. R&D: increase access to samples
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12. Biobank 2
Biobank n
Biobank 3
Biobank 1
Many queries based on diagnosis for each biobank
40 rare tumors
3. SITUATION BEFORE THE BIOPOOL PROJECT
Issues to be solved
Data dispersion
Different languages
Different data set format
•TEXT DATA SET
Less usage of data
Less accessibility
Many queries to find a specific sample or enough number of samples

14. IDEA: search samples across biobanks based on images queries
Tumor surgically removed
Lung tumor processed
to histological slide
Lung with tumor
Digital scanning of histological sections
Central server of Biobank
Histological images
Associated Clinical data
Tumor
Image

15. Clinical Data

16. Biobank 3
Biobank 4
Biobank n
Biobank 1
Biobank 2
Tumor surgically removed
Lung tumor processed
to histological slide
Lung with tumor
Digital scanning of histological sections
Central server of Biobank
Histological images
Associated Clinical data
Text and image queries
IDEA: search samples across biobanks based on images queries

17. Use cases for BIOPOOL
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Antibody test
Tissue microarrays

18. Application to the call: FP7 ICT 2011.4.1 SME initiative on digital content and languages

19. www.biopoolproject.eu

20. BIOPOOL prototype

21. Search engine result

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Big Data in biobanking
Big data: sets so large and complex that exceeds processing capacity of conventional database systems. Data is too big, moves too fast and doesn’t fit an architecture. Cloud computing: large groups of remote servers are networked to allow sharing of data-processing tasks

23. Basque Biobank and Big Data
•We have developed a private cloud to store LIMS and medical images
•Our goal is to make clinical information systems accessible for research and data mining
•Develop data entry and search interphase for research programs/investigators
•H2020: NEW PROPOSAL Recruitment of partners with competency in medical database mining, natural language processing, search engines and algorithms, controlled vocabularies, etc.
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24. Value chain of PM
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25. Case study
•Based on sample collection of Basque Biobank a aging-associated metabolomic signature has been developed
•Basque Health System has a stratified population, a centralized EHR and PM tools such as biobank
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26. Looking for partners or other initiatives
•H2020: PHC24: Piloting personalised medicine in health and care systems
Pilots of new models of care, based on the concept of personalised medicine to be conducted in existing health care environments and should take into account Europe's (national and regional) diversity in health system organisation
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27. Roberto Bilbao
Director
Basque Biobank
bilbao@bioef.org
www.basquebiobank.com
www.bioef.org
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