Clinical Research
Off-shoring: A Country Attractiveness Index for Clinical Trials
By Mark P. Mathieu
For many years, pharmaceutical companies have been off-shoring manufacturing operations to lower-cost countries. Healthy margins and strong risk aversion have afforded pharmaceutical companies the luxury of staying close to home, for all but manufacturing activities. As financial pressures increase, pharmaceutical executives are finding that going offshore is not only less risky than it once was, but also too attractive to ignore. Read More
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By eCliniqa Staff
May 4, 2009 | Last week at the Bio-IT World Conference & Expo, two clinical Best Practices Awards were given in the Clinical Trial anagement and Clinical Trial Design categories.
Genentech, nominated by ePharmaSolutions, won the Clinical Trial Management Best Practice Award for Clinical Trial Portal (CTP), a tool developed to streamline and accelerate workflow and collaboration between the stakeholders involved in conducting clinical trials. The CTP helps bio‐pharmaceutical companies accelerate and improve the site selection, activation, study training, trial management, adverse event management and patient enrollment process through a common technology platform that provides sites with one UserID, Passcode & URL for all of the studies they conduct.
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The winner in the Clinical Trial Design category was Wyeth Pharmaceuticals nominated by Tessella for “Design of Adaptive Clinical Trial with Adaptive Design Explorer.” Wyeth implemented a new framework, the Adaptive Design Explorer (ADE), in conjunction with Tessella and Berry Consultants. The ADE encourages designs to be developed in a parameterizable, generalized form that can be reparameterized for further subsequent trials. The ADE includes a graphical user interface (GUI) that is largely standard across all designs with one section for design specific parameters. This enables biostatisticians to learn to use a wide range of different designs quickly and easily learn new ones as they are added.
The 2009 awards mark the fifth Bio-IT World Best Practices Awards, and this year drew a record 72 entries, 20 in the two clinical categories. “These awards spotlight examples of the most outstanding innovations, technologies and practices in the fields of biomedical research, drug development and clinical research—spotlighting the tools and strategies that can make a difference in the conduct of basic and clinical research, speeding the drug discovery pipeline, and changing the way we generate, share, and analyze data and knowledge,” said Bio-IT World editor Kevin Davies at the gala awards dinner.
Full coverage of the Best Practices program and winners will appear in the July/August issue of Bio-IT World.
Rethinking Clinical Trials Data Integration There is a gap between the need for data integration and fully integrated systems. To find out why, SAS and Pharmaceutical Executive conducted confidential telephone interviews with senior pharmaceutical executives and CROs. This article discusses recommendations on how to achieve optimal clinical data integration, based on those interviews.
eClinical Trial Technologies Revolutionizing Clinical Development Efficiency This Bio-IT World BriefingON report, sponsored by ClearTrial, presents a selection of recent stories from Bio•IT World and sister publication, eCliniqua, that illustrate how new technologies and approaches can have a profound impact on the management and execution of clinical trials.
Remote Data Capture:Acquisition and Analysis See why Electronic Data Capture (EDC) is gaining traction in the pharmaceutical
clinical trials arena. Today approximately half of all clinical trials are conducted
electronically, and the figure is rapidly rising. Report includes contributions from
Oracle Health Sciences, Pfizer, PPD, and C3i.
Bio-IT World & CHI
Impact of the 1000 Genomes Project on the Next Wave of Pharmacogenomic Discovery
 Interview with M. Eileen Dolan, Ph.D., Professor, Medicine, University of Chicago and Speaker at Next-Generation Sequencing Data Management, September 27-29, 2010, Providence, RI
The 1000 Genomes Project aims to provide detailed genetic variation data on >1000 genomes from worldwide populations using the next-generation sequencing technologies. Some of the samples utilized for the 1000 Genomes Project are the International Hap-Map samples that are composed of lymphoblastoid cell lines (LCLs) derived from individuals of different world populations. The detailed map of human genetic variation promised by the 1000 Genomes project will allow a more in-depth analysis of the contribution of genetic variation to drug response. Future studies utilizing this new resource can greatly enhance our understanding of the genetic basis of drug response and other complex traits.
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Software Engineer – Computational Biology Center
Memorial Sloan-Kettering Cancer Center seeks an Engineer to design and develop complex data analysis systems in support of cancer genomics research projects at the Computational Biology Center. Qualified candidate will have a BA, 5+ years of software development experience and expert knowledge of Java, SQL, and HTML.
Apply: www.mskcciscareers.org. Equal opportunity and affirmative action employer.
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