vtt technologies for health – tools for future personalized ...december, 13. 2011 japanese-finnish...
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VTT Technologies for health – tools for future personalized,pre-empitive and predictive health care
Harri Siitari, Ph.DSenior Chief Scientist, Programme directorDecember, 13. 2011
Japanese-Finnish joint symposiumICT and Technology in Medical and Health Research
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VTT Technical Research Centre of Finland
Turnover 292 M€ Personnel 3,167
Focus areas of researchApplied materialsBio- and chemical processesEnergyInformation and communicationtechnologiesIndustrial systems managementMicrotechnologies and electronicsServices and the builtenvironmentBusiness research
Customer sectorsBiotechnology, pharmaceuticaland food industriesElectronicsEnergyICTReal estate and constructionMachines and vehiclesServices and logisticsForest industryProcess industry andenvironment
A globally networked multi-technological applied research organisationwith extensive cross-disciplinary technological and business expertise
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VTT on map
SiliconValley.
USA
SaintPetersburg.
Russia
Brussels.Belgium
• •• •
•
Tampere
Oulu
Jyväskylä
Espoo
Lappeenranta
••Turku Rajamäki
• Raahe• Kajaani
Kuopio•
Shanghai.China
Seoul.South Korea
Tokyo.Japan
Finland
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Future health care?Goals for predictive, preventive and participatory HC
Stay healthFollow-up health
Right drugRight diseaseRight time
Disease managementLiving at home
Cost efficientProcesses inHealth care
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Future age distribution in Finland
over 65y
below 15y
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Finland - Resource usage I; primary health careMeasured as inpatient hospital days
Age group 35 - 39 y-o 20 000 inpatient days55 - 59 y-o 200 000over 85 yo 2 Millionover 65 y-o approx. 6 Million All age
groups together 7.3 Million inpatient days
-> Resource usage strongly increasing with age
Diagnosis groups requiring most inpatient hospital days (as inpatient days):• Cardiovascular diseases 1 800 000• Psychiatric disorders (dementia) 2 000 000 (1.6 M)• Malignancies 306 000• Musculoskeletal diseases 278 000• Gastrointestinal system diseases 139 000• Neurological disorders (Alzheimer) 856 000 (453 000)• Injuries 596 000
total inpatient hospital days: 7.3 milj
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Key research area 1: Life span strategy in Brain andcognition
Childhoodpredictive
biomarkers
Working ageStress, depression,Other diseases
Disease managementLiving longer at home
YoungFinnbird-brain injuryCentre in TurkuTreatment proc.diagnostics
http://www.vsshp.fi/fi/finnbirdProf. Olli Tenovuo, VSSHP
RetiredEarly biomarkers for AD,Ambient assisted living
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Motivation - Alzheimer’s Disease• Alzheimer’s disease is a progressive neurodegenerative disease.• Alzheimer’s disease will be one of the main health issues of the next decades:
– costs are 1 % of the gross-domestic product (GDP) of the whole world, and– 27 million people (2006) -> 114 million (2050).
• Delaying both the onset and progression only by modest one year would reducethe number of Alzheimer’s cases by 10 %.
• Current medical problems:– no effective medication but new drugs under development, and– no objective and efficient early diagnostics.
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ICT-based solutions for diagnostics?• In healthcare domain, huge amounts of data are
acquired from patients: various databases containhidden information about variability of humans thatcould be utilized in diagnostics.
• data quantification is difficult, e.g., automated image segmentationtools are rare in clinical practice,
• there are no solutions for integrating heterogeneous data (holisticview) although 85 % of clinicians would like to have, and
• diagnostics should be performed at very early stage for successfultreatments – a need for pre-clinical screening.
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Image quantification - Brain
Lötjönen: NeuroImage, 2010 & 2011Koikkalainen: NeuroImage, 2011
• VTT has developed a new VolumeWarp solution toimage segmentation:
• only 2 minutes in a standard laptop,
• accuracy comparable to manual segmentation (goldstandard)
• licensed already to one global player, discussionsgoing on with three other companies.
• Other solutions for tensor-based morphometry, manifoldlearning, and atrophy measurements.
patientresult
mean model
HIPPOCAMPUS FROM MRISimilarity
indexCorrelation of
volumesVolumeWarp (N=340) 0.87 0.94Manual segmentation (inter-rater):Morra, NeuroImage, 2009 (N=21) 0.85 0.71van der Lijn, NeuroImage, 2008 (N=20) 0.86 0.83Niemann, Psych. Res, 2000 (N=20) - 0.93
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VTT & Alzheimer’s Disease• VTT has diverse offering in the scope of Alzheimer’s disease:
• image quantification tools (segmentation, multi-template tensor-basedmorphometry),
• metabolomic biomarkers from blood, and• decision support solution for integrating heterogeneous patient data and
for providing evidence based objective index of the state of the patient.• Solutions developed in an EU funded research project of eight partners:
PredictAD (www.predictad.eu).
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TBIcare - Concept
Expected results:
• a strictly evidence based softwaresolution for diagnostics and treatment planning,
• new biomarkers and their combinations for TBI,
• datamining-based statistical framework forfusing highly heterogenous data, and
• new efficient data quantification tools.
• software tools for clinicians use
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Biomarkersfrom imaging and blood samples
Biomarkersfrom imaging and blood samples
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Key research area 2 : biomarkers/metabolomics platformExperiment design + Analytical chemistry + Chemometrics + Bioinformatics
EU FP6HEPADIP (metabolic syndrome // partner)
EU FP7ATHEROREMO (vulnerable plaques // WP leader)DIAPREPP (type 1 diabetes // WP leader)METACANCER (breast cancer // WP leader)MITIN (insulin resistance // WP leader)PredictAD (Alzheimer’s disease // partner)ETHERPATHS (systems biology & nutrition // coordinator)TORNADO (gut microbiota // WP leader)
Juvenile Diabetes Research FoundationT1D prevention project (coordinator)
Human Frontier Science ProgramGut microbiota project (co-applicant)
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From commentary about our T1D studyby P. Bougnères & A.-J. ValleronJ. Exp. Med. (2008)
J. Exp. Med. (2008)
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Biomarker searchMarker genesMicrobesLipidsAntigens
Key research area 2: Diagnostics
Antibody developmentProbes and primersLarge-scale productionof reagents
HTtranscription profilingImmunoassaysMicrobial population profil.MetabolomicsMultiplexed detection
Portable detectorsMicrofluidicsRoll-to-roll printingLabel free detectionCapillary electrophoresisWireless data processingand transfer
Understandingdiagnostics
needs
Reagentdevelopment
Assaydevelopment
Devicedevelopment
for point-of-careapplications
By integrating VTT's know-how on biotechnology, electronics, material sciences and ICTnew innovative bioanalytical and diagnostic platforms are developed
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CDR mutagenesis
Affinity / specificityselection
Tailoring the affinity and specificity
Oriented immobilization
Immobilization tags
Stability improvement
Improved labelling
Antibody engineering possibilities
His tag, protein- and peptide tags, Cys-tag, tag for biotinylation
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19/01/2012 18VTT MEDICAL BIOTECHNOLOGY / BIOCHIP
Arrays-in-Wells forMultiplexed Bioassays
Microarrays in 96-well platesCompatible with standard labequipmentSimple Assays – Multiple Results
Applications• Rapid viral
diagnostics• Analyte panels
e.g. CVD• Pathogen
diagnostics• Autoimmune
disease• Allergy• Genotyping
Array types• Oligonucle
otide• Antibody• Antigens• Allergens
Dr. Petri Saviranta, VTTLiisa Hattara, VTT
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19/01/2012 19VTT MEDICAL BIOTECHNOLOGY / BIOCHIP
Assay Logistics
- Shake 15 min- Wash- Dry
Sample25 µl
Readout:
- Optical scan (fluorescence)
- Automated image analysis
- Quantification spot signals
- Data analysis
=> Result
Buffer25 µl
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Adeno RSV Influenza A Influenza B
Parainfluenza 1 Parainfluenza 2 Parainfluenza 3 Negative
Control samples
Adeno RSV Inf A Inf B PIV1 PIV2 PIV3 neg Total
Routineassay 16 33 0 4 2 0 2 521 578
Arrays-in-wells 16 33 0 4 3 1 1 520 578
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Clear discrimination betweenserotypes
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0.1
1
10
100
1000
10000
0.01 0.1 1 10 100
Net
sign
al (D
y633
flu
ores
cenc
e)
[Adeno Hexon Protein] (ng/ml)
Adenovirus antigen assay on AIW(Dylight 633-labelled antibody)
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Pioneering R2R pilot manufacturing machinery for printedelectronics and intelligence
Fig 8: ROKO 4 printing unit pilot line, 2007• units: gravure, reverse gravure, flexo, rotaryscreen, lamination (printing units in register)• web width: 30 cm• web speed: 10 m/min max
Fig 7: PICO 3 printing unit pilot line, 2003• units: gravure, hot-embossing, lamination• web width: 20 cm• web speeds: 0.5-100 m/min
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Roll-to-Roll (R2R) hot-embossing principle
Advantages overstatic hot embossing:
rotating stamp cylinderenables continuous chipmanufacturing (parallel andcontinuous)uniform chip qualitylarge area embossingspossibleintegration of other roll-to-rollprocesses in production line(e.g. printing of biomarkers,lamination, online qualitycontrol)
Schematic model of roll-to-roll (R2R) hot-embossing process.
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Examples of our current activities
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Analysis of Adeno Hexon Protein with Arrays-in-channels vs Arrays-in-wells
AIW
0
1000
2000
3000
4000
5000
6000
7000
8000
233 117 58 29 15 7.3 3.6 1.8 0.9 0.46 0.23 0
[Hexon protein] (ng/ml)
Sign
al
AdenoRSVInf APIV3
AIC, 200 µm channels
0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
933 467 233 117 58 29 15 0
[Hexon protein] (ng/ml)
Sign
al
Adeno
RSV
Inf A
PIV3
• Common dilution series was made for AIC and AIW:• Two-fold dilution series starting from 933 ng/ml• Dilutions from 933 down to 15 ng/ml were analyzed with AIC• Dilutions from 233 down to 0.23 ng/ml were analyzed with AIW
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Key research area 3: Personal HealthSystems
New wearable devices- easy, affordable, accurate
Advanced analysis toolsand psychophysiological models- from data to information and feedback
Computing and connectivity- pervasive
+ New service models+ New delivery and business models+ New peer and social networks
Easy, available, affordable, efficient,personalised, trusted, standard-based,interoperable, citizen-driven
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Vivago IST:ACTIVITY RECOGNITION WITH MOVEMENT SENSORS
An intelligent wearable socialalarm system for elderlyEnables cost efficient continuous24/7 monitoring of wellness ofthe subjectReliable user-triggered andautomatic alarms for emergency
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Conclusions• VTT has developed and validated state-of-the-artscientific methods for the diagnostics of AD buttools are applicable also in other domains.
VTT diagnostics for multiple biomarkers :• the disease state fingerprint provides a holistic view of the status of the patientand allows both diagnostics and the follow-up of treatment efficacyquantitatively based on the principles of evidence-based medicine,
• the disease state fingerprint profiling technology has potential in personalizedmedicine: to match patients for clinical studies and for treatments.
• Recombinant antibody development with low-cost multiplexed technologiesprovides platforms for future diagnostics
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Acknowledgements
Biomarkers DiagnosticsMatej Oresic, Research professor Lotta Amundsen, Senior scientistTuulia Hyötyläinen, Team leader Tarja Nevanen, Team LeaderLiisa Jäntti, Scientist Petri Saviranta, Team Leader
Kristiina Takkinen, Research professorICT Hans Söderlund, Research professorJussi Mattila, ScientistKimmo Jaakkola, Medical doctorJyrki Lötjönen, Chief scientistMark van Gils, Team leader Diagnostic technologiesNiilo Saranummi, Research Professor Inger Vikholm-Lundin, Chief Scientist
Leena Hakalahti, Team LeaderAri Hokkanen, Senior scientistPäivi Heimala, Tean LeaderKirsi Tappura, Team Leader
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VTT creates businessfrom technology
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Disease state index and disease state fingerprint techniques
Koikkalainen: Radiology, 2008 & Mattila: JAD, 2011 & One US patent & One patent pending
• Decision support system developed allows easy visualization of the statusof a person relative to different populations available in large databases.