Case Studies - The Pharmaceutical and Healthcare Sector

As in the financial industry, companies in the pharmaceutical and bioengineering sector also rely on their ability to run ever more detailed and accurate simulations as a source of competitive advantage. Inaccuracy, downtime and data loss can all critically affect the company’s performance in developing the latest drugs. Here, again, the resilience, flexibility and power of Grid and Cloud technologies come into their own, and unsurprisingly the literature provides a wealth of success stories.

 

Gridipedia's Case Studies of Grid Computing in the financial Sector

Worldwide Grid helps the fight against heart disease. Worldwide Grid helps the fight against Heart Disease Recent research work on the genetic causes of one of the world’s biggest killers, coronary artery disease has been conducted by teams from the Cardiogenics consortium using the Enabling Grids for E-sciencE (EGEE) infrastructure.

The Future of Healthcare: eHealth and Grid Computing

Financial benefits of a Grid MP implementation

CESGA and CHUS

Pathwork Diagnostics, Inc.

Cognigen

CIC bioGUNE

Top20 pharmaceutical

EGEE

Institute for Genomic Research

Famar and Wyeth Hellas

Laboratory of Neuro Imaging

Applied Biosystems

University Healthcare System

State University of New York

LIKAT

The Friedrich Miescher Institute

Incyte Genomics

E-Health with Mobile Grids.

 

Financial Benefits of a Grid MP Implementation

Company: Fortune 100 company, top 5 pharmaceutical company

Business: Grid MP implementation for pharmaceutical industry

This white paper examines the financial implications of using grid software. The calculations are based on a Fortune 100 pharmaceutical firm. The calculations of financial benefits described are also applicable to other pharmaceutical and other industries. Entire document avaiable here.

Grid / cloud provider : Univa UD

 

 

 

Company: CESGA and CHUS

Business: Radiotherapy treatment for cancer patients

Grid technology provider: BEinGRID

RadiotherapyGrid is a solution based on Grid technology that helps hospitals plan the best possible radiotherapy treatment for cancer patients. It has two core functions: verification of plans using accurate, but computationally expensive, techniques and searching for the optimal treatments. RadiotherapyGrid uses Grid resources to quickly process treatment plans, improving the speed and accuracy of radiotherapy services.

Grid computing case study provided by: BEinGRID

Please see the RadiotherapyGrid case study videos and the case study PDF.

 

 

Company: Pathwork Diagnostics, Inc

Business: Molecular diagnostics

Cloud Technology: Unicloud

Pathwork Diagnostics, Inc. develops molecular diagnostic tests to aid oncologists in the diagnosis of hard-to-identify cancer tumors. Amazon Elastic Compute Cloud (EC2) for pay-per-use computing and Univa UD’s UniCloud product to build high-performance computing (HPC) clusters in the EC2 cloud, in order to perform their compute-intensive research. This case studies looks at the ins and outs of how this has been achieved.

Cloud computing case study provided by: Univa UD

Cloud Computing at Pathwork Diagnostics, Inc.

 

 

 

Company: Cognigen

Business: Consultant to the life sciences sector

Grid technology provider: Sun Grid

Consultant and analyst firm Cognigen Corporation uses a highly CPU-intensive application, NONMEM, for modeling drug variability within humans. They needed a scalable solution so that scientists could submit jobs without running checks of server availability. After evaluating a number of solutions, Cognigen chose the Sun ONE Grid Engine software and Sun's Netra X1 server. The GUI provides Cognigen with a convenient management tool for administering the Grid. In addition, they lowered the total cost of ownership and dramatically increased productivity.

Grid computing case study provided by: Sun

Grid Computing at Cognigen Corporation

 

 

Company: CIC bioGUNE

Business: Bioscience investigation

Grid Solution: BEinGRID

Date: June 2008

CIC bioGUNE’s Functional Genomics Unit uses genetic analysis to understand the fundamental mechanisms that underlie hereditary diseases. This will allow the development of therapeutic strategies and diagnostic systems, both for hereditary diseases and to predict individual sensitivity to particular drugs.

Atos Origin designed a grid-based solution that fulfilled CIC bioGUNE expectations, leading to a performance boost 25x with the same departmental hardware - from 3 hours to 7 minutes.

Grid computing case study provided by IT-Tude.com

Grid computing at CIC bioGUNE

 

 

Company: Top 20 Global Pharmaceutical

Business: Pharmaceutical and commercial healthcare products

Grid technology employed: UniCluster Express

Date: September 2008

Dissatisfied with the license model of their existing cluster software 0product (Platform™ LSF®)1, the company’s Research IT team began seeking alternatives that would provide all the functionality the customer was used to, but at a reduced overall cost. Following an initial test UniCluster Express was running in production – and by the end of the week all applications had been migrated to UniCluster. The company saved 80% on cluster software costs improved manageability via UniCluster’s management and monitoring console and reduce complexity

Grid computing case study provided by: Univa UD

Grid computing at a top20 pharmaceutical

 

 

Company: EGEE

Business: A consortium-based research project

Date: April 2006

A collaboration of Asian and European laboratories uses in silico techniques to analyse 300,000 possible drug components against the avian flu virus using the Grid infrastructure set up by the EGEE.

Provided by EGEE

Grid Computing at the EGEE

 

 

Company: Institute for Genomic Research

Business: Genetic research

Grid technology provider: Sun Grid

The Institute for Genomic Research (TIGR) is a non-profit organization dedicated to deciphering and analyzing genetic sequences. To achieve higher performance at lower cost, TIGR migrated and consolidated processing for a core genetic sequencing application from a HP AlphaServer Tru64 platform to a high-performance computing grid infrastructure using Sun Fire x64 servers running Sun N1 Grid Engine and Linux that met TIGR’s requirements, and more, reducing system problem-resolution time from one week to a few hours.

Provided by Sun

Grid Computing at the Institute for Genomic Research

 

 

Company: Famar and Wyeth Hellas

Business: Pharmaceuticals

Grid Solution: BEinGRID

Date: June 2008

SCM (Supply Chain Management) comprises a rapidly growing market with its main emphasis being on supplier collaboration opportunities coupled with inventory optimization and process efficiencies across the supply chain. Any supply chain today – regardless of the sector it serves – is made up of an increasingly labyrinthine network of materials, equipment and services suppliers requiring efficient management for its smooth, cost effective and successful operation.

In this pilot implementation, different entities (suppliers, distributors, pharmacies) accessed information related to their role in the supply chain and their network of collaborating companies. A customized portal offered per role access to the Grid e-procurement services to the different users of the system through which stock management and order processing capabilities were validated.

Grid computing case study provided by IT-Tude.com

Grid computing at Famar and Wyeth Hellas

 

 

Company: Laboratory of Neuro Imaging

Business: Neurological research

Grid technology provider: Sun Grid

Date: February 2006

The Laboratory of Neuro Imaging (LONI) at the University of California at Los Angeles (UCLA) is one of the country's foremost neurological research centres. With the intention of ensuring a high level of productivity for researchers, shortening execution times of critical applications and maximizing utilization of computing resources, it deployed a 306-node cluster of Sun Fire V20z servers running Sun N1 Grid Engine software, which manages the lab's servers as a computing service. Each Sun Fire V20z server has dual 64-bit 2.4 gigahertz AMD Opteron processors with four gigabytes of memory.

Provided by Sun

Grid Computing at the Laboratory of Neuro Imaging

 

 

Company: Applied Biosystems

Business: Instrumentation for the life sciences sector

Grid technology Provider: Sun Utility Computing

Date: March 2006

Applied Biosystems serves the life science industry and research community by developing and marketing instrument-based systems, consumables, software and services. Customers use these tools to analyze nucleic acids (DNA and RNA), small molecules and proteins to make scientific discoveries, develop new pharmaceuticals and conduct standardized testing. Applied Biosystems used utility computing in the form of the Sun Grid Compute Utility to develop genotyping assays as quickly as possible, in response to newly released data, without having to worry about capital investments.

Provided by Sun

Grid Computing at applied Biosystems

 

 

Company: University Health Care System

Business: Hospital network

Grid Technology Provider: IBM

University Health Care System is a not-for-profit community hospital network that serves 25 counties throughout Georgia and parts of South Carolina, USA. The transformation into a digital healthcare facility had created the need to improve the scalability, reliability and resiliency of the hospital’s information storage infrastructure. Using IBM’s Grid Medical Archive Solution allowed them to protect data and simplify the deployment, operation and management of the massive fixed-content storage systems.

Provided by IBM.

Grid Computing at University Health Care System

 

 

Company: State University of New York

Business: Bioinformatics research

Grid Technology Provider: Platform LSF

Date: 2005

State University of New York (SUNY) required large computational power to support biological research for its Bioinformatics department. A solution was put together using 1,900 Dell PowerEdge 1650 servers using Platform LSF® software. As a consequence SUNY researchers can accomplish work previously reserved for multimillion dollar supercomputers and mainframes, at a fraction of the cost.

Case Study provided by Platform

Grid computing at the State University of New York

 

 

Company: The Friedrich Miescher Institute

Business: Biomedical Research

Grid Technology Provider: Digipede

Date: July 2006

The Friedrich Miescher Institute, part of the Novartis Research Foundation, carries out biomedical research. As part of this work they analyse thousands of genetic sequences. However, although a very powerful tool, this could take several hours to complete when based on a single server. With the intention of running the application on a Grid so that the service could be offered through a website, the institute turned to Digipede for a robust and flexible Grid solution.

Case Study provided by Digipede

Grid Computing at the The Friedrich Miescher Institute

 

 

Company: Incyte Genomics

Business: Drug Discovery

Grid Technology Provider: Platform

With one of the industry’s largest Linux-based data centres, drug discovery company Incyte Genomics needed to optimize its heterogeneous compute resources to accelerate discovery. Incyte selected Platform LSF® and Platform Analyzer on a Linux cluster of 1,200 CPUs for a dedicated production pipeline, where several million jobs will be handled automatically, resulting in significant reduction on time-to-market.

Case Study provided by Platform

Grid Computing at Incyte Genomics

 

E-Health with Mobile Grids: The Akogrimo Heart Monitoring and Emergency Scenario

Business: A consortium-based research project Akogrimo

Date: 03/2006

In this article, you can read a full description of  the Akogrimo heart monitoring and emergency scenario using Mobile Grids and an answer to the question: Why is Grid useful in this case?

The aim of this technology is to take into acount the mobility of patients. It form therefor networks of patient, electromic health records, mobile medical experts and so on.

The full Whitepaper starts with a short description of challenges and perspectives of the healthcare domain. Then you can read about patient's mobility and high computation time which are the reasons of using Mobile Grids in this domain. In addition, the paper gives a description of an emergency scenario. As a conclusion, you will find  which are the new business opportunities for Network and Application Service Provides.

E-Health with Mobile Grids: The Akogrimo Heart Monitoring and Emergency Scenario