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FASTER R&D analysis ofgo-to-market data

GAIN COMPETITIVEEDGE WITH

TRG’S SEMANTICTECHNOLOGY

White Paper

IS YOUR R&D EMPOWERED FOR ACCELERATED INNOVATION?

The Future of pharmaceutical and biotechnology space is Personalized Medicine and researchers are working towards understanding of these complex disease mechanisms, so that they can deliver right treatment to right person.

A typical drug before going to manufacturing travels a period of 7- 10 years through R&D division. The time to market is majorly dependent on research and development division where they are constantly researching on new molecules or modifying old molecules to improve their efficacy with process of simple combination of theoretical frameworks and experimental hypothesis and validation to combined sciences of biology/medicine, analytical technologies, and informatics. The core vision of every Pharmaceutical/Biotech organizations is to get their drug in market as soon as possible and this can be achieved by reducing the time spend in the research and development. These departments are heavily dependent on massive amount of data. This information is present but scattered across multiple databases and sources, both public and private wherein it’s very difficult to complete the jig saw puzzle. Although due to the era of Web 2.0, we are connected to lot of data and information but the catch lies in are we getting the relevant information, that also on time?

Figure 1: Exploding Volumes of Data: Life sciences data producers such as the Whitehead Institute and the Sanger Center are already managing many TeraBytes (TBs) of data, and require high throughput processing capabilities and 24 x 7 availability to keep pace with the high volume of data generated from today's sequencing equipment. This quote from the Sanger Center gives and idea of the magnitude of data that needs to be managed for life science problems.

1994 1995 1996 1997 1998 Oct1999

Apr2000

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2002 2003 2004 2005 2006

500TB

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Genetic databases are estimatedto be doubling in size every six months,more than twice as fast

Major Bottlenecks exists in life sciences research and development;

1. Rely on newer and innovative methods for successful transfer from research to clinic.

2. Complex and dynamic data across the systems.3. Data is locked inside hundreds of different information systems across

the individual disciplines /in silos4. Data explosion of emerging Biotech laboratories and has considerably

increased the complexity and scale of data 5. Enormous volumes/heterogeneous nature of data creates a gap in the

existing computational system to infer its meaning, the dynamics of this biological data depends on the experiment, that makes the researcher in need of adaptable and extensible systems

With TRG, research organizations can aggregate data from disparate systems-both within their own institutions and from partner organizations-and use that data with agility. This aggregated access allows researchers to address many data challenges from a single system, by allowing data to flow freely from existing specialized locations to destinations where it is needed for downstream analysis, and by making it possible for outcomes and results to help define directions for upcoming research.

Figure 2: TRG semantic service articulation

Visualization

SEMANTICTECHNOLOGY

Communication

Sense Engine

Integration

MappingDataNavigator

Knolwledge ManagementSemantic Agent

BusinessIntelligence

Auto Mail

Categorizer

SemanticSearch

The solution to put the bits of puzzle to picture is Semantic technology. Semantic Technologies are designed to extend the capabilities of information on the Web and enterprise systems to be networked in meaningful ways. With the era of Web 3.0 coming up, TRG has realized the importance of semantic technology and its impact to the revenue to our Lifesciences customers. With the power of product COGITO and the experience in product implementation, system integration, content management and Application Maintenance & Operations, TRG with Expert System brings semantic solutions and products to the Lifesciences Company.

Our solution is based on semantic intelligence platform which is able to take any kind of text or formats, after which a linguistic analysis is done which is able to break the information and understand the meaning of each data and the relationship with each other, giving the exact information needed by the user with different view of analysis

Figure 3: COGITO: the power of semantic intiligence

unstructured information

e-mail

intranet

information streams

web

mobile content

input linguistic analysis output solutions

semantic intelligence conceptual map structured information(documents, report, analysis)

Semantic Search

Categorizer

Extractionand selectionof information

Intelligence

Interpretation of naturallanguage

COGITOmorfological analysis

parsing

sentence analysis

semantic analysis

SensigrafoSemantic Network Concepts,Domain Ontologies, Geographical Places,Companies, products, People

R

documents

FEATURES

More parameters to expand the meaning of a particular query which is searched by the scientists and researchers

Relationship or mapping of query with one and others to give better and accurate results

With Subject-Action-Object tool one can get information regarding the history , development stage of other scientists and researchers working on other molecules on a click

Dashboard centric information to give a holistic view of mapped information.

Content analysis through geographic maps that can help researchers get more structured insight over the medical data globally

TOTAL BENEFITS OF TRG SEMANTIC SOLUTION

Deep understanding of Lifesciences domain helps in capability to perform full Disambiguation

Precision: Retrieving a high level of accurate results relevant to search query

Recall: Retrieving a high percentage of relevant documents Real time information search discussing about the trends and opinions Automatic categorization Automatic tagging of main elements Automatic summary of article and research papers Extracts specific relationships that exist between the concepts

BENEFITS TO USERS (SCIENTISTS/RESEARCHERS)

Aggregating Life Sciences data and their statements on the Web Common system for referencing things across all research domains

even they exist in one of many databases URI resources can be typed and associated with cross-community

vocabularies Support the collective knowledge of an R&D Community A Wiki with semantic relations Substrate for Next Generation Discovery Tools Flexible Integration of scientific networks

WHY CHOOSE TRG AS YOUR SERVICE PARTNER.

1. Pharma Business Aligned IT Aligning business process with IT service delivery results in Process

Cycle Time Reduction and Enhanced Business Performance Large US Pharmaceutical Company – Business Process Changes

resulting in reduced cycle time for order processing and manufacturing lead times by 25%

2. Complex Transformational Projects Saving 2.6 Million USD Beyond Labor Arbitrage by productivity gains TRG Supports 90 % of ERP Apps, Human Health, Clinical & Pre

clinical IT One of the Largest Pharma SOA Enablement Reference

3. Pharma Reference and ERP Domain Depth TRG works with 10 of the top 15 pharmaceutical and companies #3 SAP Integrator by scale and completeness of solution #1 for SAP Customer Satisfaction #1 in Remote Infrastructure Services Global Delivery network beyond INDIA of Poland, brazil, Malaysia

and China Centers and Near SHORE in North Carolina

4. Service Innovation Joint IP creation with SAP for Clinical Trial Supply Chain &

Manufacturing Domains eZ Migrate & ASSET - Efficient migration & transition methodologies

5. Output/Outcome based Models Utility Based Pricing Efficiency accrued is passed on to the customer as cost benefit Steady transition to step level pricing model