Presentation Description: Reproducibility is a fundamental hallmark of good science, essential for toxicological research as well as regulatory applications. However, what is reproducibility and how it impacts the toxicological research? Today, we are often no longer experimentally testing only one potentially variable factor; instead it is common to examine thousands or millions of factors simultaneously such as transcriptomic and other genomics profiles. How reproducibility is manifested in these new data streams which are crucial to new era of drug discovery. The FDA-led MicroArray Quality Control (MAQC) Consortium has been set up to address critical questions related to the reproducibility of modern science. This session will provide the attendees the Re-Understanding AI for methods and how those methods could be effectively used in Drug-Development by handling Data integrity & QC-related issues.
Attendees will no how to address the reproducibility related issues how to look out for them
Upon completion attendees will have understanding of how to implement those in their respective studies
Upon attending this session attendees would able to participate in on-going consortium level efforts to address reproducibility