By K.V.Ramana Rao

The Race to e-Life Science

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)

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

KOOPTemplate

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

Thank You