Mumbai 2011

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Mumbai 2011

  1. 1. An Introduction to SLAS andLaboratory Technology Trends Steven Hamilton, Ph.D. SLAS Director of Education
  2. 2. Society for Laboratory Automation and ScreeningAn international community of more than 10,000individual scientists, engineers, researchers &technologists• Provides forums for education and information exchange to encourage study and advance laboratory science and technology• Academic, government and commercial laboratories.• Drug discovery, agrochemical, biotechnology, chemical, clinical diagnostic, consumer product, energy, food, forensic, security and other industries.
  3. 3. SLAS Conferences & Symposia
  4. 4. Distance LearningSLASScientific Journals • Virtual Courses • LabAutopedia Wiki • LabMan Blog/Podcast • Standards • Journals on Demand • Reference Material
  5. 5. SLAS member surveys Why do you use laboratory automation? Improve safety 2.4 in the laboratoryImprove working conditions 2.8 in the laboratory Reduce operating cost 3.5 Improve data quality 3.8 Increase productivity 4.7 1 2 3 4 5 (Low) Rating (High) 2006 slas survey – full data in LabAutopedia
  6. 6. Technology Driven Industries Organizational LifecycleProductivity, Competitiveness Organization Age
  7. 7. Technology Driven Industries Organizational LifecycleProductivity, Competitiveness Organization Age
  8. 8. Lab Automation in Pharma What have we learned? • The goal is Enterprise Optimization. • Automation can enable good science, not create it. • No single technology or discipline holds the key. • The impact of technology on the balance and flow of the entire R&D process must be understood, planned and managed. Chemistry Proteomics Horsepower alone does not create good science Bio-chemistry Pharma Genomics Enterprise Pharmacology Molecular Biology BiologyThe winning companies effectively integrate technology with science using both in-house resources and external partnerships. - Boston Consulting Group Report
  9. 9. How Do We Automate Science? We find that science automation is highly customized 54% 46%26% 53% 47% 2003 51% 49% 2006 Lab Automation Sources 1998 Off The Shelf Customized
  10. 10. How Do We Automate Science? Less customization now done in-house 9% 24% 46% 20% 11%26% 47% 15% 2003 4% 25% 49% 22% 2006 Lab Automation Sources 1998 Off The Shelf Developed In-House Vendor Modified Customized Solutions 3 rd Party Integrator
  11. 11. How Do We Automate Science?Yet companies still dedicate resources to lab automation No:25% Yes: 75% No:36% Yes:64% 2006 1998 Companies with internal lab automation resources
  12. 12. How Do We Automate Science?Yet companies still dedicate resources to lab automation. If more work is being outsourced, why? No:25% Yes: 75% No:36% Yes:64% 2006 1998• Outsourced projects still require internal expertise, but different focus• Lab Automation has spread more widely across companies • Requires more on-going support
  13. 13. Success of lab automation? My organizations senior management feels it’s investment in laboratory automation has: Not delivered the expected result 1% 56% 43% Succeeded in Produced delivering themixed results expected result
  14. 14. Success of lab automation? My organizations senior management feels it’s investment in laboratory automation has: Not delivered the expected result 1% 39% 62% 56% 43% had internal had internal Succeeded in Produced automation automation delivering themixed results resources resources expected result
  15. 15. The Laboratory Automation Expert? Key to success• Few formal degree programs Software Engineer provide this interdisciplinary background• Most have formal degrees in Electrical Chemistry, Biology, Engineering or Scientist Engineer Computer Science• Important skills Mechanical – Understanding of relevant areas of Project Engineer Manager science – Programming – Engineering Fluidics – Project management Expert – Leadership, business
  16. 16. Risk-Taking with Technology? Internal resources matter With Without Technology Entry Point internal internal resources resources Bleeding edge: technology showing high potential, but 7% 5% yet to demonstrate value or practicality. Leading edge: technology proven in marketplace but 67% 44% few knowledgeable personnel to implement or support it. State of the Art: when everyone agrees that a 26% 51% particular technology is the right solution.
  17. 17. What Limits our use of Lab Automation Today?Time to validate process on automation 3.3 Time to develop assays/procedures 3.3 Time to reconfigure for new process 3 Up and downstream infrastructure 2.8 Data evaluation/computation 2.7 Data management 2.7 Vendor support 2.6 Ease of operating automation 2.5 Forced downtime (broken) 2.5 Automation System Throughput 2.3 0 0.5 1 1.5 2 2.5 3 3.5 Limiting Factors: 1=Low; 5=High
  18. 18. How to Succeed with Laboratory Automation?Navigate the delicate waters of change by joining SLAS and by employing SLAS members!

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