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Medicine in the 21st century: IT as a «magic bullet»?
The virtual patient: a challenge for information technology and data integration
Prof. Manuel C. Peitsch
VP Biological Systems Research, PMI R&D
Chairman of the Board of Directors, Swiss Institute of Bioinformatics
Information, Computational and Mathematical Sciences
2Medicine in the 21st century: IT as a «magic bullet»?
Inventory of challenge categories
• Data, Information and Knowledge management
• Knowledge representation(s)
• Model building
• Using Models
• Simulation
• Verification / validation
3Medicine in the 21st century: IT as a «magic bullet»?
The Challenge of Data, Information & Knowledge Management
• Data, Information and Knowledge are:– The products of Science … which become the
input to build new science and applications that benefit society.
• However:– They need to be managed!
• Why?
4Medicine in the 21st century: IT as a «magic bullet»?
A Web of Data, Information and Knowledge, …
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5Medicine in the 21st century: IT as a «magic bullet»?
… with a history of exponential growth
6Medicine in the 21st century: IT as a «magic bullet»?
The Ancient Dream of a Global Library One stop shop for all knowledge Peitsch MC (2007) Expert Opinion in Drug Discovery 2:299-304.
Despite the IT revolution, this is still not a reality … and we are very for from it!
7Medicine in the 21st century: IT as a «magic bullet»?
The Challenge of Knowledge Representation
BioPAX: is an ontology (formal knowledge representation system)
Demir et al., Nature Biotechnology 2010, 28:935-942
8Medicine in the 21st century: IT as a «magic bullet»?
The Challenge of Knowledge Representation
The Biological Expression Language (BEL) allows the management and “operationalization” of biological facts (http://belframework.org/)
Shouldn’t these concepts be merged into a new concept?
9Medicine in the 21st century: IT as a «magic bullet»?
The Challenge of Model Building
Experimental Data
Mechanism
A Collection of Cause and Effect Scientific
Knowledge
Data-driven representation of mechanistic networks supported by prior knowledge
10Medicine in the 21st century: IT as a «magic bullet»?
Understanding DiseaseMechanisms
Understanding DiseaseMechanisms
Systems Response ProfilesSystems Response Profiles
Network ModelsNetwork Models
11Medicine in the 21st century: IT as a «magic bullet»?
The Challenge of Model BuildingDealing with the fundamental contradictions and ambiguities associated with
assimilating scientific findings from disparate biological experiments and quality issues associated with manual and algorithm-driven collation methods
12Medicine in the 21st century: IT as a «magic bullet»?
Inflammation Response Network:23 sub-networks in 9 cell and tissue categories
1320 nodes and 1619 edges
13Medicine in the 21st century: IT as a «magic bullet»?
The Challenge of Using Models
Hoeng JC et al. (2011) Drug Discovery Today. doi:10.1016/j.drudis.2011.11.008
14Medicine in the 21st century: IT as a «magic bullet»?
The Challenge of Using Models
• Patient stratification based on drug response.
• Evaluating AE/Tox risk linked to exposure
• Diagnostics
…BUT…
What about personalization based on Omics / Genetics?
15Medicine in the 21st century: IT as a «magic bullet»?
The Challenge of Simulation
Kholodenko BN, Demin OV, Moehren G, Hoek JB. Quantification of short term signaling by the epidermal growth factor receptor. J Biol Chem. 1999 Oct 15;274(42):30169-81
1. Process Diagram2. Mathematical
Expressions3. Setting parameters4. Running simulations
1
23
4
16Medicine in the 21st century: IT as a «magic bullet»?
Entelos PhysioLab allows the assessment of diversity and mechanistic variability on individual patient and population predictions
16
17Medicine in the 21st century: IT as a «magic bullet»?
Cardiovascular PhysioLab clinical phenotype is constrained by many individual measurements and population statistics
17
18Medicine in the 21st century: IT as a «magic bullet»?
Uncertainty in
UnderlyingMechanistic
Diversity……9p21SMC
proliferationLCATactivity
LDLRlevels
CETP/LPLactivity
hepatic TG
ABCA1activity
ObservedSub‐population
Variability
Virtual patients and population capture phenotypic range by modeling underlying mechanistic diversity
Population level distributions (e.g. Framingham, NHANES)
T2D +/‐
CAD Hyperlipidemia statin
non‐responders
19Medicine in the 21st century: IT as a «magic bullet»?
Confidence intervals around predictions can achieved by assigning alternate prevalence probabilities to virtual populations
19
20Medicine in the 21st century: IT as a «magic bullet»?
Impact of alternate prevalence weighted virtual populations on clinical trial design
• Right clinical trial design– Optimal dose, regimen, duration
– Competitive differentiation
• Right patients– Responder/non-responder subpopulations
– Biomarker patterns (efficacy and safety)
• Systemic risk management– Alternate population-level hypotheses for best-case and worst-case
scenarios
– Testable hypotheses via early-phase biomarker patterns
20
21Medicine in the 21st century: IT as a «magic bullet»?
The Challenge of Verification
Independent verification of complex research processes / methods is increasingly necessary
… and so is the verification of the output …
22Medicine in the 21st century: IT as a «magic bullet»?
How Bright Promise in Cancer Testing Fell Apart
23Medicine in the 21st century: IT as a «magic bullet»?
Academic efforts: DREAM
24Medicine in the 21st century: IT as a «magic bullet»?
Commercial efforts: IMPROVER
P. Meyer et al., Nature Biotechnology 2011, 29:811-815J. Hoeng et al., Bioinformatics 2012, in press
25Medicine in the 21st century: IT as a «magic bullet»?
Q&A
Thank you for your attention…