Transcript Document

The Race to e-Life Science
By K.V.Ramana Rao
Chief Technology Officer
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)
 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
 Proteomics
 > 215 companies are into proteomics
 Protein chip sales to increase from US$45M to US$500M from 2000 till 2006
Largest expansion will be in bioinformatics and protein biochip
e-Research & Development
Target identification
Drug Development
Research
Pre-clinical
Phase I – IV
Registration
Licensing
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
Production
Sales & distribution
Medical Professionals
& Health Services
Patients
Adopted from Ernst & Young’s Eighth Annual European Life Sciences Report 2001
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 Integration
for Life Sciences
ORACLE
NCBI
SWISS-PROT
Data
Management
ENSEMBL
Database
ROSETTA
US PTO
Web Contents
Payment System
Search System
LUCENE
FISHER
Application
Management
SAP
AFFYMETRIX
PERKIN-ELMER
Data Mining
Equipment
Process
System
Knowledge
Management
LOTUS
HUMMINGBIRD
KOOPrime Products
KOOPLATFORM
System to integrate, personalise and automate
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
KOOP Captures Knowledge
Integration &
Personalization
KOOPlatform
KOOP Templates
Rigid and
disparate technologies
Implicit / Explicit
knowledge
‘Customizable’ KOOP Templates
Hidden
knowledge
KOOPTemplate
KOOPlatform:
Hybrid of Agent and Workflow Technologies
KOOPAgent
Execute / Control
Applications on machines
KOOPBox
Create/
Modify/
Execute
Business flows
KOOPServer
Control workflows /
Communicate with KOOPDaemons
Intelligent Tools:
Providing Competitive Advantage
 Live i*DEA
Integrated Data Extraction Application for automatic data extraction and pre-processing
Usage: Extract useful data from various sources (e.g. DBs, data files, web)
 LiveBASE
Bioinformatics Applications SuitE
Usage: Automated workflows for installation and periodic update of bioinformatics applications
and databases
 LiveCell
Processes multi-media data on two dimensional grid
Usage: Front-end for multi-media databases, report generator, integration system for data and
applications
 LiveQuest
Combines functionalities of visual SQL query generator and LiveCell
Usage: Query system for multimedia databases (e.g. genomic and image DBs)
 LiveGraph
Combines functionalities of data drilling and data mining techniques
Usage: Intelligent data drilling and mining tool for life sciences, banking and technical analysis
domains
The Value Chain
Target identification
Drug Development
Research
Pre-clinical
Phase I – IV
Registration
Licensing
Production
Internal Knowledge sharing
E-Wireless (PDA / Phone / Wireless)
E-Databases (Genomics / Proteomics)
E-Processes (Laboratory / Microarrays)
E-Trials and Clinical data management
E-Collaborations and extranet E-Teams
Data mining / external databases
E-Regulatory
E-Licensing (identify, evaluate, transfer and manage IP)
E-Contract manufacturing
E-Procurement
Sales & distribution
E-Pharmacy (pharmaceutical compound preparation)
E-CRM (customer relationship management)
E-Supply Chain
Medical Professionals
& Health Services
B2C (E-Retail) / B2B
E-Insurance
E-Prescriptions
E-Clinical Research databases (disease registries)
E-Medical records
E-Medical information, evidence-based medicine
E-Consultations
E-Health (information, education)
E-Services
Patients
Legend
Done
In progress
Yet to start
Adopted from Ernst & Young’s Eighth Annual European Life Sciences Report 2001
Implementation:
Laboratory Integration
 Allows users to select vendor plates for processing
 Generate in-house plates from vendor plates
 Print barcodes for each selected plate
 Start up legacy dispenser software
 Auto-import output files of dispenser into database
Email
 Email user if there is any error in processing
DB
Update
KM Implementation:
Knowledge Management Portals
Generating
& Gathering
WinWord Excel PDF Email Web pages Databases
Preserving
& Organizing
HTML XML
Refining
Distributing
& Sharing
Cataloging Warehouses Indexing
Automation Filtering Clustering Association Mining
Email_Push
Searching
Web_Pull
Implementation:
CRM for Banking
Objective
To understand needs and establish relationship by consolidating feedback and
harnessing the power of Data Mining
 Data Collection
Feedback
 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
Purchase
Inquiry
Change
Profile
Evaluate
Reject
Choose
products
Tailor
offer
settings
Offer
product
Reject
NoResponse
Select
Customers
Working With Partners
Applications
Bigtec
MegaTech
HealthTech
National Cancer Center
Brio Technology
Advanced Intelligent Solutions
Open Source Systems
SAS
Database
Oracle
Network/
Security/
Payment
Concord / ANT Labs /
Centripetal
Hardware
Sun Microsystems
Products
• Individual users
• Organizations
OEM
Consultation & Services
Projection
Branch
2002
GSK
SIB
Oracle
Concord
SUN
Compaq
BRIO
Branch 2002
Bigtec
Megatech
OSS
Branch
2001
NCS
NCC
ANT Labs
AIS
NUS
IMCB
Branch
2002
Agenix
HealthTech
Thank You