Topics

Program Scope and Topics:
Knowledge Based Strategies: Effectively deploying knowledge resources into new business opportunities, Alternative and novel business models in the life sciences industry, Applying knowledge resources to third world health challenges, Pharmacovigilance and risk management
Innovative Science Product Development: Entry and exit strategies in life science product development, Managing risk and the future in product development, New advances in drug discovery approaches; beyond massive screening, Applications of genomics and proteomics: successes so far and what's on the horizon, Emerging Research Domains: Systems biology, nanotechnology, Electronic-based systems for clinical trial management
Drug Safety: Risk Management Planning & Assessment, Drug Safety Knowledge Management, Labeling Decision-Making, Enhancing Confidence in Safety, Knowledge-based Clinical Decision Support
Personalised Medicine & Pharmacogenomics, The Drug Safety Body of Knowledge
Combatting Drug Counterfitting and Trafficking: Advances in Track-and-Trace technology, Radiofrequency identification (RFID) tagging, Integrated federated identity management, New regulations, laws and international agreements, Impact on Patient Safety
Drug Discovery Innovation: In Silico approaches & computational models, Predictive Toxicology, New advances in targeted drug discovery approaches, Cheminformatics & Bioinformatics, Combinatorial & Medicinal Chemistry, Biosensors & Nanotechnology, Molecular Medicine & Biotechnology, Protein Folding, Misfolding & Aggregation: Applications to Disease
Drug Development Innovation: FDA Critical Path to new Medical Products, Managing risk and reducing cost in product development, New advances in chemistry and biology (biomarkers, toxicology, proteomics, toxicogenomics, metabolomics, etc.), Clinical trial design, modelling, evaluation techniques, endpoint selection, Early development screening models & predictive capability, Scientific and technical hurdles in the development process

Electronic Based R&D Systems: Pros and cons of centralisation and localisation, Creativity and intuition, how do we best support novel ideas and innovating, How do we make collaborative virtual work environments for R&D work?, Semantic Web: next generation web services for the life sciences, Usability and retrieval of electronic data      

Knowledge Based Ontoligies, Language and Semantic Web: Applying the Semantic Web within the Life Science Industry, Embedding knowledge into working processes and workflows, Enabling the understanding of knowledge for groups distributed in space, time and expertise domain, Developing shared languages and ontologies for life science knowledge domains and communities of practice
Knowledge Transfer: Strategies for spontaneous knowledge exchange, Knowledge fairs or cafes, Partnering, mentoring, coaching and apprenticeships, Knowledge maps, Trust and motivation, Development of common language, Cultural changes (acceptance that talk is work, incentives and rewards, risk taking and tolerating creative mistakes, etc.), Creativity and intuition, how do we best support novel ideas and innovation?      
Electronic Lab Notebooks: Managing the transition to mixed paper-electronic and electronic-only approaches, Best practice and Standard Operating Procedures for electronic record-keeping, Challenges, benefits and investment analysis from Case studies, Integration of laboratory data into the global knowledge environment, Effective classification and indexing of laboratory data
Data Integration and Standards: Supporting effective decision-making: interoperability and data standards, XML-based scientific communication, Future proofing of software and data storage systems, Industry and government initiatives, Deployment, effectiveness and productivity gains from integration initiatives, Open Standards and Open Sources: initiatives, adoption and effects, Enterprise Records Management      
Autonomous Agents: Automating data communication between systems, Embedding intelligence in drug discovery autonomous agents, How should we personalise agents for R&D investigators?  
Grid Computing: When to deploy? Advantages and disadvantages of grid approaches, Applications to biological screening and drug discovery, Business models for distributed computing approaches, Licensing and intellectual property issues and approaches
Collabrative Knowledge Management: Embedding JIT Knowledge into health product development, Effective planning and reaction to adverse clinical and market events, Data-sharing and analysis between remote team members, Management of multi-site, multi-organizational collaborative projects including data management in contract and outsourced R&D projects, Applications of social software to collaboration
Outsourcing and Partnering: Intelligent outsourcing of product development and clinical trials, Managing knowledge in partner situations, Intangible asset auditing in licensing decisions, Global outsourcing opportunities: present and near future, Expertise location inside and outside the organisation
Regulatory Issues in Data Management: FDA compliance in electronic R&D systems, 21CFR-11, Planning for future trends in the regulatory environment, Expanding products into new regulatory markets, International similarities and differences regarding keeping, managing, and submitting electronic records for IP/patents, drug approvals for FDA and equivalents, Legal guidelines, practical experiences, law/legal case studies relating to use/acceptance (or not) of electronic records and submissions, Reports on rates of adoption of electronic record-keeping and submissions by industry, regulatory body, and country, and other details on accepted practices, and review of audits/validation
Data Mining, Analysis, and Visualisation: Application of integrated decision-making tools into Life Science Data Analysis, Enabling the asking of powerful questions, Automation solutions for data mining
Patent & Intellectual Property Issues: Protecting intellectual property in collaborative knowledge management systems & partnerships, Security and Risk Management of product data and knowledge, Knowledge management and International technology transfer: regulations, licensing and strategies, Analysis of legal case studies involving electronically captured data, Licensing issues in database mining