Pharmaceutical R&D and the role of semantics in information management and decision- making Otto...
-
Upload
shannon-harrell -
Category
Documents
-
view
218 -
download
1
Transcript of Pharmaceutical R&D and the role of semantics in information management and decision- making Otto...
Pharmaceutical R&D and the role of semantics in information
management and decision-making
Otto Ritter
AstraZeneca R&D Boston
W3C Workshop on Semantic Web for Life Sciences
27-28 October, 2004
2
Drug R&D – complex, costly & risky information-driven enterprise
Biology Chemistry Development
Target ID Target Val. Screening Optimize Pre-clinical Clinical
~ 10 years~ $1Bodds < 1/1000
$$
4
AB
C
benefit
cost
uncertainty
Challenge Problem Knowledge
TechnologicalKnowledge
ScientificKnowledge
BusinessKnowledge
Project vs. Business Perspectives
5
Many Maps, Models, Mappings
attributes(some context-dependent)
functional& structuralspaces
modelscontext
INDIVIDUALENTITY
conceptualcategories
6
Heterosemantic Networks and Decision Support
Find optimal routes between entities, based on evidence
Extend evidence-based routes with technological options (cost, risk)
Extend optimal plans, based on science and technology, into a lattice of business options (real options valuation)
7
From Molecular and Biomedical Information Pathways to “R&D Pathways”
Typical project routes
Time, cost, attrition & transition probabilities
Model fitting for different contexts (e.g., disease area, target or lead molecular class, …)
Simulation, ranking of options
Joint portfolio & infrastructure optimization
8
Where we need (semantic and syntactic) information integration
Problem statement … definition
Representation … language, formalism
Integration/Implementation … data, methods
Modeling … model, theory
Evaluation of … confidence feasibility
Simulation of … answers consequences
Analysis … options, conclusions
Interpretation … reference to reality
Decisions … impact on reality
9
Lessons learned so far
Decouple form (syntax) from meaning (semantics)
Allow for multiple interpretations & conflicts
Reuse generic (form-oriented) components
Operational definition for identity
Explicit representation of context
Decision support analysis presents a special case of intelligent information integration across the science, technology and business domains
10
Needs & Opportunities
Large-scale and high-throughput data integration, mining, model building and verification, interpretation & reasoning over complex, dynamic, hetero-semantic domains
“Workflows of workflows”, driven by the meaning, sensitive to context, and smart about uncertainty
Stack of high-level declarative languages. Orthogonal representations of concepts, logical and physical structure, UI services and views (extension of the Model-View-Control paradigm)