by k.v.ramana rao the race to e-life science chief technology officer
TRANSCRIPT
OVERVIEW
Insights to the Life Sciences
Issues
EAI for Life Sciences
KOOP Implementations
Partners
KOOPrime aims to be the major solutions provider in the life
sciences
INSIGHTS TO LIFE SCIENCES: GOVERNMENT
Strong Government Initiatives US: US$3B for Human Genome Project
Germany: US$62M and US$18M to support proteomics and bacterial genomes over 3 years respectively
Britain: Budget to grow at 7% a year for next 4 years in bioinformatics and other post-genomics research
Italy: US$195M fund to focus on human genetics, cancer and bioinformatics
Sweden: US$91.4M for biotech, biosciences, healthcare
Singapore: US$1.2B in life sciences
Malaysia: BioValley will be valued at US$13.2B in 10 years
Japan: US$489.6M invested towards sequencing and analysis
Korea US$1.7M for 2 plant genome projects
INSIGHTS TO LIFE SCIENCES: INDUSTRY
Pharmaceutical In 1998, top 5 pharmas invested 3.5% of revenues on IT
Pharma expected to grow > 10% yearly
In 2001, US$93 Billion spent on R&D
1/3 of economic activity in US spent on interaction (searching, coordinating, checking)
Proteomics > 215 companies are into proteomics
Protein chip sales to increase from US$45M to US$500M from 2000 till 2006
Biotech In 1995, 2/3 of biotech companies has less than 50 employees, by 1999, over ½ has between 100 to 500
In 1995, there are 7 companies in US with > US$1 billion market capitalization
In 2000, the companies increase to 50
In 2000, biotech industry raised over US$34 billion globally
Largest expansion will be in bioinformatics and protein biochip
e-Research & Development
Target identification
Drug DevelopmentResearch
Pre-clinicalPhase I – IVRegistration
Licensing
Production
Sales & distribution
Medical Professionals & Health Services
Patients
Adopted from Ernst & Young’s Eighth Annual European Life Sciences Report 2001
Focus Automation Integration Innovation
Role Enabling the business to do things better
Enabling the business to do better things
Enabling the business to do new things
Performance Measure
Reduce costs (efficiency)
Improve business performance (effectiveness)
Improve business capability (breakthrough performance)
Challenge Technical competencies
Technology management
Service management
ISSUES IN LIFE SCIENCES
Data Management HTS produced 10-fold increase in network traffic; denser screening will add another order of magnitude
Clinical trials supporting each new drug application submission doubled from 1984 to1999
Integrating biological and chemical data is not trivial - 80% of data are unstructured
Application Management New technologies are revolutionary and disparate
Disparate technologies need to be integrated as a coherent drug discovery engine
Knowledge Management Life science organizations are knowledge generation machines. Any organization that does not manage that knowledge will be at a competitive disadvantage
To integrate information and knowledge generated into R&D workflow, providing greater opportunity to share and use these resources
To have consistent, systematic, predictive processes to apply existing knowledge uniformly
IT NEEDS IN THE LIFE SCIENCES
Improve Efficiency of Existing Processes Integration of heterogeneous applications Automate high throughput processes Organize and analyze data
Develop New Niches Knowledge management
Enterprise Application Integrationfor Life Sciences
Application Management
KnowledgeManagement
DataManagement
Database Web Contents
Payment System
Data Mining
Equipment
Search System
Process
System
ORACLE
NCBI
SWISS-PROT
FISHER
AFFYMETRIX
PERKIN-ELMER
US PTO
ROSETTA
SAP
ENSEMBL
LUCENE
LOTUS
HUMMINGBIRD
KOOPrime Products
INTERNET/TELECOMMUNICATION TOOLSET
Large scale secure data collection and communication via Internet and PDAs
DATABASE TOOLSET
Large scale data analysis and visualisation of heterogeneous dataset
KOOTEMPLATES
Personalised end-solutions to rapidly solve life science issues
KOOPLATFORM
System to integrate, personalise and automate
KOOP Captures Knowledge
Rigid and disparate technologies
‘Customizable’ KOOP Templates
KOOPlatformKOOP Templates
Hiddenknowledge
Integration & Personalization
Implicit / Explicit knowledge
KOOPlatform:Hybrid of Agent and Workflow Technologies
KOOPServerControl workflows /
Communicate with KOOPDaemons
KOOPBoxCreate/Modify/Execute
Business flows
KOOPAgentExecute / Control
Applications on machines
Intelligent Tools:Providing Competitive Advantage
Live i*DEAIntegrated Data Extraction Application for automatic data extraction and pre-processingUsage: Extract useful data from various sources (e.g. DBs, data files, web)
LiveBASEBioinformatics Applications SuitEUsage: Automated workflows for installation and periodic update of bioinformatics applications and databases
LiveQuestCombines functionalities of visual SQL query generator and LiveCellUsage: Query system for multimedia databases (e.g. genomic and image DBs)
LiveGraphCombines functionalities of data drilling and data mining techniquesUsage: Intelligent data drilling and mining tool for life sciences, banking and technical analysis domains
LiveCellProcesses multi-media data on two dimensional gridUsage: Front-end for multi-media databases, report generator, integration system for data and applications
The Value Chain
Internal Knowledge sharing
E-Wireless (PDA / Phone / Wireless)E-Databases (Genomics / Proteomics)E-Processes (Laboratory / Microarrays)E-Trials and Clinical data managementE-Collaborations and extranet E-TeamsData mining / external databasesE-RegulatoryE-Licensing (identify, evaluate, transfer and manage IP)
E-Contract manufacturingE-Procurement
E-Pharmacy (pharmaceutical compound preparation)E-CRM (customer relationship management)E-Supply Chain
B2C (E-Retail) / B2BE-InsuranceE-Prescriptions E-Clinical Research databases (disease registries)E-Medical recordsE-Medical information, evidence-based medicineE-ConsultationsE-Health (information, education)E-Services
Target identification
Drug DevelopmentResearch
Pre-clinicalPhase I – IVRegistration
Licensing
Production
Sales & distribution
Medical Professionals & Health Services
Patients
Adopted from Ernst & Young’s Eighth Annual European Life Sciences Report 2001
In progress
Done
Yet to start
Legend
Implementation:Laboratory Integration
Start up legacy dispenser software
Allows users to select vendor plates for processing
DBUpdate
Auto-import output files of dispenser into databaseEmail
Email user if there is any error in processing
Generate in-house plates from vendor plates
Print barcodes for each selected plate
KM Implementation:Knowledge Management Portals
Generating& Gathering
Distributing& Sharing
Refining
Preserving & Organizing
PDFWinWord DatabasesEmailExcel
IndexingCataloging
Searching
Filtering
Warehouses
Web pages
XMLHTML
Clustering Association Mining
Email_Push Web_Pull
Automation
Implementation:CRM for Banking
ObjectiveTo understand needs and establish relationship by consolidating feedback and harnessing the power of Data Mining
Data Collection
Data Warehouse Generation
Data Preprocessing Normalization of data De-replication of records Empty Values Replacement
Data Analysis Interactive data visualization Data Driller RuleGraph Classifier Association Rules
Web Based solutions
Inquiry
Offerproduct
Evaluate
Reject
No- Response
Chooseproducts
Tailoroffer
settings
Purchase
Reject
Feedback
ChangeProfile
SelectCustomers
Working With Partners
Products• Individual users
• Organizations
OEM
Consultation & Services
Network/Security/Payment
Hardware
Database
Sun Microsystems
Concord / ANT Labs /Centripetal
Oracle
Applications
BigtecMegaTechHealthTechNational Cancer CenterBrio TechnologyAdvanced Intelligent SolutionsOpen Source SystemsSAS
Projection
Branch2001
Branch2001
Branch 2002Branch 2002
Branch 2002
Branch 2002
Branch2002
Branch2002
BigtecMegatechBigtec
Megatech
NCSNCC
ANT Labs
AISNUSIMCB
NCSNCC
ANT Labs
AISNUSIMCB
OracleConcord
SUNCompaq
BRIO
OracleConcord
SUNCompaq
BRIOAgenix
Agenix
HealthTechHealthTech
GSKSIB
GSKSIB
OSSOSS