Article in Nature’s Scientific Reports: Machine learning approaches to predict lupus disease activity from gene expression data

Released today, July 3, 2019, in Nature’s Scientific AMPEL BioSolutions shows a breakthrough in precision and personalized medicine that could revolutionize the way doctors treat chronic disease.  The article details our machine learning approach to predict disease activity from gene data obtained from patient blood samples, the lab test, only a concept for the last few years, is now ready for development for practical use.