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Thursday, October 3 • 2:40pm - 2:50pm
Lightning Session- An Operational Informatics Platform To Model, Execute, and Refine Laboratory Workflows

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An Operational Informatics Platform To Model, Execute, and Refine Laboratory Workflows
In silico techniques, such as cheminformatics and bioinformatics have long been used in drug discovery to help model and better understand the vast array of data that can be generated in drug discovery research, with a view to helping bring more effective drugs to market faster.

However, they have not been able to replace in vitro experiments, which must still be done on a massive scale. The pace of drug discovery research still hinges on the production and supply of various samples, reagents and consumables via automated and manual processes to perform these experiments. As new scientific space is discovered, the variety and complexity of these experiments increases dramatically, making planning of the resources required and the execution of the experiments increasingly difficult, thus creating an operational Big Data bottleneck.

In this presentation we will introduce a new, advanced, cloud-based software platform that utilizes prediction algorithms to visualize and model production laboratory environments, and then also perform the real-life execution of the chosen model, giving real time feedback to help refine it further based on Operational Informatics.

The software can help decide which hardware should be used or obtained; it can optimize the use of samples, reagents and consumables; and also provide information on the amount of human capital or outsourcing required to fulfill a production goal and removing the operational bottleneck.

Key benefits are:
•One single system for the planning and execution of all R&D and Production tasks
•Constant feedback across all levels allows for higher transparency and ability to react quickly to changes
•Integrate with existing systems in terms of horizontal integration and vertical integration
•Platform for continuous improvement of processes & initiatives
Application areas include:
•compound sample management
•high throughput screening
•medicinal chemistry
•cell line production
•clinical trials


Ben Schenker

Director Life Sciences, Xavo
Drug discovery research is immensely complex and has to constantly adapt to new discoveries in biology and chemistry making it unlike any other industry. My passion and experience over the last 24 years has been about developing and introducing new technologies that help researchers... Read More →

avatar for Mike Berke, MS

Mike Berke, MS

Director of Research and Automation Technologies, Amgen
Mike is the Director of the Research & Automation Technologies (R&AT) group at Amgen, where he has been for the last 16 years. The R&AT group focuses on developing novel devices and software tools to improve research processes.

Thursday October 3, 2019 2:40pm - 2:50pm EDT
Theater Ballroom (5th Fl) - Courtyard Boston Downtown 275 Tremont Street, Boston, MA 02116