The Reproducibility Question: How Better Data Access Fosters Good Laboratory Practice

Of the many issues that encompass good laboratory practice regulations, the thorniest is probably ensuring reproducibility. Recent research from the Global Biological Standards Institute (GBSI) showed that a staggering 50% of published preclinical trial results cannot be reproduced by another research team. As any professional knows, a trial that can’t be reproduced was better not done at all. This problem accounts for $28 billion per year in wasted funds in our country alone.

There are a few main reasons why reproducibility fails: Faulty study data, and insufficient lab protocols are among them. One of the obvious solutions to this problem is strict adherence to best practices. CfPIE can help: We offer world-class training in good laboratory practices with our Become a Good Laboratory Practices Certified Compliance Professional (GLPCP) Program, designed to give you up-to-the-minute knowledge in what FDA inspectors are looking for, and how to avoid the pitfalls that cost you time, and cost your company or research facility money. Our instructors ensure you learn the why’s and how’s behind FDA-approved lab protocols, and courses like Introduction to Statistical Analysis of Laboratory Data ensure that you can spot errors in your analysis before the FDA points them out. 

To solve the data problem in good laboratory practice, there are new tools that not only help scientists capture more data, but learn how to use it effectively. Artificial intelligence, which we have covered on the blog previously, helps sort through mountains of data to find the results that matter most to you. Machine learning is poised to revolutionize the drug discovery process, and may take a bite out of the 50% failure rate currently plaguing our industry. 

Learn more about what’s new in good laboratory practices by signing up now. 
 

Source:

http://www.biopharminternational.com/glps-better-data-access-needed-improve-compliance