Webinar: High Throughput Research in Preformulation of Biologics

Sponsored by: Freeslate

Focused on:

    Date: 1nd June

    Days old: 4998

    Time: London 4PM / New York 11AM

    Reducing development risks by applying an array-based formulation approach

    With large investments continuing to be poured into the pharmaceutical and biotechnology industries, achieving a high rate of return on these substantial outlays is a chief concern. Drug discovery labs worldwide are asking important questions:

    • How do we minimize the increased costs associated with later stage development failures and reformulations?
    • What standard automated and software solutions can be used to accelerate informed decision-making and build organizational knowledge?

    Quality by design initiatives and the need to be ever more productive with fewer resources has led to the increasing use of high throughput research techniques in drug development. Developing robust formulations for biological materials (proteins, antibodies, vaccines, etc.) requires the screening and analysis of a comprehensive matrix of formulation compositions and stress conditions.

    In this webinar, Dr Eric Carlson, an expert in applying novel, high throughput research approaches to maximize impact in drug development laboratories, will answer these questions and others to help you increase the productivity of your R&D organization.

    Using a configurable laboratory automation platform (Freeslate’s Core Module 3), samples can be prepared, processed and tested on the same system within a microscale environment, creating and analyzing more formulations with the same amount of starting material. By running experiments in parallel, researchers can further reduce the cost-per-study and increase sample throughput. Dr. Carlson will present case studies to support these data.

    Managing complex sample handling and making sense of information-rich data sets from a variety of sources requires powerful informatics tools for sample tracking and data reporting. A standard software solution, Freeslate’s Laboratory Execution and Analysis software (LEA) will be presented. LEA software seamlessly generates, collects, and shares data across an entire organization to accelerate informed decision-making and build organizational knowledge.

    Learn how Dr. Carlson’s expertise in this area will help you find the best utilization for your organization’s R&D investment.

    Presented by

    Dr. Eric Carlson,

    VP of Collaborations & Solution Development

    Dr. Eric Carlson is a leader in developing cutting edge, high throughput research solutions for life science applications. He joined Freeslate as the VP of Collaborations & Solution Development in March 2010. Prior to joining Freeslate, Dr Carlson had served as the VP of Life Science Technology for the High Productivity Research Division of Symyx Technologies. From 1998 to March 2010, Dr. Carlson led a variety of functions at Symyx including product management, product development, and small molecule drug development services. In these roles, he was integral in developing many of the platforms and automated workflows that Symyx, and now Freeslate provides to its customers.

    Dr. Carlson received his B.S. degree in chemical engineering with a concentration in biosciences from N.C. State University in 1993. He received his M.S. and Ph.D. degrees in chemical engineering from Stanford University in 1994 and 1998, respectively. Dr. Carlson has 32 published patents, 9 publications in peer-reviewed journals, and given numerous presentations at national conferences.

    In addition, Dr. Carlson contributed a chapter in the 2nd Edition of Pharmaceutical Stress Testing being published July 2011. The chapter titled "Automation in Conducting Stress Testing and Excipient Compatibility Studies", has a section on stress testing and stability testing protein formulations.

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    Key Learning Objectives

    • Applying high throughput techniques to reduce time and cost in drug development
    • Supporting QbD initiatives by screening more formulations to capture more information earlier in development
    • Critical considerations in designing an automated workflow
    • Approaches to data management in high throughput research and building knowledge across R&D

    Audience

    • Merck - Senior Principle Scientist
    • Bristol-Myers Squibb - Research Scientist
    • GSK BIOpharm - Investigator and Group Leader
    • Amgen - Principle Scientist
    • Eli Lilly and Company - Senior Research Scientist