A new computational approach has been developed to reduce variability in common research biomarker tests, a promising step in improving the ability of biomedical researchers and basic scientists to reproduce data and facilitate more consistent results across laboratories and long-term projects. Researchers from Boston Medical Center (BMC) and Boston University School of Medicine (BUSM), developed a new software program, called ELISAtools, which provides a stable platform to compare data from research-use-only assay kits and minimize variability over months or even years. The results were published online in PLOS One.
* This article was originally published here
