Realizing The Opportunity To Increase Quality And Improve Efficiency Of Safety Data Collection Within Patient Support Programs

Patient Support Programs (PSPs) have changed dramatically over the past decade; they have become global activities, and grown significantly in scale and complexity. While PSPs are also an increasingly valuable resource for pharmacovigilance due to the extensive patient safety data they generate, they have suffered from the traditional lack of standardized mechanisms for recording, reconciling and managing this data, resulting in resource heavy processes, and a lost opportunity for deeper product understanding for Pharma. Fortunately, new technologies are helping to tackle this challenge.
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OTHER ON-DEMAND WEBINARS

Study Designs and Statistical Methods for Assessing the Genetic Architecture of Disease

Ambry Genetics

An introduction to study designs for investigating the role of genes in disease will be provided, followed by an overview of statistical methods used to test hypotheses for each design. Examples of several designs will be discussed, as well as accompanying methods. Publications assessing the role of genetic variation in disease will be examined, and a critical critique of methods and results for each publication will be reviewed.
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The digital lab of the 21st century

Life science companies face major obstacles to continue operations and profitability. Examples include patent expirations, low research and development productivity, increased competition, decreased margins, non-optimized processes and mounting compliance pressure.
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Understanding the Evolution of Intranasal Vaccines

Intranasal vaccination is an interesting and increasingly attractive alternative to improving the delivery of therapeutic vaccines. It comes with the promise of better efficacy by stimulating local mucosal response, needle-free delivery and could be self-administrable.
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ANALYSING COMPLEX DATA IN THE PHARMACEUTICAL INDUSTRY: THE CASE FOR MULTIVARIATE ANALYSIS

biopharma-asia

The Pharmaceutical Industry has a strong need to develop knowledge from data. Although the latter is not at a premium in the Pharmaceutical Industry the former is, as always, at a premium. Multivariate data analysis (MVA) is a set of statistical data analytical methods which has been widely adopted within the Pharmaceutical Industry, and it has pre-eminence within the discipline.
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